{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "110e9146",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e993c35",
   "metadata": {},
   "source": [
    "## 1.图像视频的加载和显示\n",
    "### 创建和显示窗口\n",
    "* namedWindow()创建命名窗口\n",
    "* imshow()显示窗口\n",
    "* destoryAllWindows()摧毁窗口\n",
    "* resizeWindow()改变窗口大小\n",
    "* waitKey()等待用户输入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f655f08c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建窗口\n",
    "cv2.namedWindow('new',cv2.WINDOW_NORMAL)\n",
    "cv2.resizeWindow('new',800,600)\n",
    "cv2.imshow('new',0)\n",
    "\n",
    "key = cv2.waitKey(0)\n",
    "if key & 0xFF == ord('q'):\n",
    "    print('准备销毁')\n",
    "    cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ac07300",
   "metadata": {},
   "source": [
    "### 读取图片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6e75b53a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[ 34,  40,  39],\n",
       "        [ 34,  40,  39],\n",
       "        [ 34,  40,  39],\n",
       "        ...,\n",
       "        [ 36,  44,  44],\n",
       "        [ 36,  44,  44],\n",
       "        [ 36,  44,  44]],\n",
       "\n",
       "       [[ 34,  40,  39],\n",
       "        [ 34,  40,  39],\n",
       "        [ 34,  40,  39],\n",
       "        ...,\n",
       "        [ 37,  45,  45],\n",
       "        [ 38,  46,  46],\n",
       "        [ 38,  46,  46]],\n",
       "\n",
       "       [[ 34,  40,  39],\n",
       "        [ 34,  40,  39],\n",
       "        [ 34,  40,  39],\n",
       "        ...,\n",
       "        [ 38,  46,  46],\n",
       "        [ 39,  47,  47],\n",
       "        [ 39,  47,  47]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[ 98, 101, 106],\n",
       "        [ 95,  98, 103],\n",
       "        [ 96,  99, 104],\n",
       "        ...,\n",
       "        [ 78,  81,  86],\n",
       "        [ 77,  80,  85],\n",
       "        [ 77,  80,  85]],\n",
       "\n",
       "       [[ 96,  99, 104],\n",
       "        [ 93,  96, 101],\n",
       "        [ 95,  98, 103],\n",
       "        ...,\n",
       "        [ 78,  81,  86],\n",
       "        [ 75,  78,  83],\n",
       "        [ 74,  77,  82]],\n",
       "\n",
       "       [[107, 110, 115],\n",
       "        [102, 105, 110],\n",
       "        [102, 105, 110],\n",
       "        ...,\n",
       "        [ 79,  82,  87],\n",
       "        [ 73,  76,  81],\n",
       "        [ 72,  75,  80]]], dtype=uint8)"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from utils import cv_show\n",
    "# 默认是按照彩色图片来读取\n",
    "cat = cv2.imread('cat.jpeg')\n",
    "cat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "97f64b82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "255"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1c5bd3bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1fabe13f5f8>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#发现matplotlib显示的图片和真实 的图片颜色不一样，因为opencv读进来的图片不是默认的RBG\n",
    "#opencv读的是BGR，所以得用opencv自己的进行展示\n",
    "plt.imshow(cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "43b59b90",
   "metadata": {},
   "outputs": [],
   "source": [
    "cv_show('cat',cat)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "015dc237",
   "metadata": {},
   "source": [
    "### 保存图片\n",
    "* imwrite(path,img):使用imwrite保存图片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3a95d160",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from utils import cv_show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7b52e477",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "保存完毕\n",
      "保存完毕\n",
      "97\n",
      "97\n"
     ]
    }
   ],
   "source": [
    "cv2.namedWindow('img',cv2.WINDOW_NORMAL)\n",
    "cv2.resizeWindow('img',640,480)\n",
    "img = cv2.imread('cat.jpeg')\n",
    "\n",
    "while True:\n",
    "    cv2.imshow('img',img)\n",
    "    key = cv2.waitKey(0)\n",
    "    if(key & 0xFF == ord('q')):\n",
    "        break\n",
    "    elif(key & 0xFF == ord('s')):\n",
    "        print('保存完毕')\n",
    "        cv2.imwrite(\"./123.png\",img)\n",
    "    else:\n",
    "        print(key)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8cff9d75",
   "metadata": {},
   "source": [
    "### 视频采集\n",
    "* 视频是由图片组成的，视频的每一帧就是一幅图片，一般是30帧，表示一秒显示30张图片\n",
    "* cv2.VideoCapture可以捕获摄像头，用数字来表示不同的设备，\n",
    "* 如果是视频文件，可以直接指定路径即可"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ad4f6f53",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from utils import cv_show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e44bf3b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "cv2.namedWindow('video',cv2.WINDOW_NORMAL)\n",
    "cv2.resizeWindow('video',640,480)\n",
    "#打开视频文件\n",
    "vc = cv2.VideoCapture('./123.mkv')\n",
    "#打开摄像头\n",
    "# vc = cv2.VideoCapture(0)\n",
    "# vc = cv2.VideoCapture(1)     如果打开失败则闪退\n",
    "#循环读取摄像头的每一帧\n",
    "while True:\n",
    "    ret, frame = vc.read()\n",
    "    if not ret:\n",
    "        break\n",
    "    cv2.imshow('video',frame)\n",
    "    #假如一个视频是30帧，那么每张图片之间要隔多久？ -> 1000%30\n",
    "    key = cv2.waitKey(1)\n",
    "    if key & 0xFF == ord('q'):\n",
    "        break\n",
    "vc.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05d0a10f",
   "metadata": {},
   "source": [
    "### 视频录制\n",
    "* VideoWriter:参数一为输出文件，参数二为多媒体文件格式(VideoWriter_fourcc,参数三为帧率，参数四为分辨率\n",
    "* write编码并写入缓存\n",
    "* release缓存内容写入磁盘，并释放资源"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6a3b814f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from utils import cv_show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9198708f",
   "metadata": {},
   "outputs": [],
   "source": [
    "cap = cv2.VideoCapture(0)\n",
    "#*mp4v就是解包操作 等同于'm','p','4','v'\n",
    "fourcc = cv2.VideoWriter_fourcc(*'mp4v')\n",
    "#创建videowriter\n",
    "vw = cv2.VideoWriter('output.mp4',fourcc,30,(640,480))\n",
    "\n",
    "while cap.isOpened():\n",
    "    ret, frame = vw.read()\n",
    "    if not ret:\n",
    "        break\n",
    "    vw.write(frame)\n",
    "    cv2.imshow('frame',frame)\n",
    "    if cv2.waitKey(1000 % 30) == ord('q'):\n",
    "        break\n",
    "    \n",
    "vw.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba5c1801",
   "metadata": {},
   "source": [
    "### 控制鼠标\n",
    "* setMouseCallback(winname,callback,userdata) winname是窗口的名字，callback是回调函数,userdata是给回调函数的参数\n",
    "* callback(event,x,y,flags,userdata)回调函数必须包含这5个参数，event是事件（鼠标移动，左键，右键等）,x、y是鼠标的坐标点，flags主要用于组合键，userdata就是上面的setMouseCallback的userdata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ade5bccf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from utils import cv_show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c5fc4a66",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 632 28 0 123\n",
      "0 618 28 0 123\n",
      "0 600 28 0 123\n",
      "0 584 28 0 123\n",
      "0 570 29 0 123\n",
      "0 556 30 0 123\n",
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      "0 454 63 0 123\n",
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      "0 401 77 0 123\n",
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      "1 311 102 1 123\n",
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      "0 311 102 0 123\n",
      "7 311 102 1 123\n",
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      "1 331 104 1 123\n",
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      "0 341 122 0 123\n",
      "1 341 122 1 123\n",
      "0 341 125 1 123\n",
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      "0 341 130 1 123\n",
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      "0 341 140 0 123\n",
      "0 340 141 0 123\n",
      "0 339 144 0 123\n",
      "0 337 147 0 123\n",
      "0 335 151 0 123\n",
      "0 331 157 0 123\n",
      "0 328 163 0 123\n",
      "0 327 167 0 123\n",
      "0 326 170 0 123\n",
      "0 324 174 0 123\n",
      "0 323 175 0 123\n",
      "1 323 175 1 123\n",
      "0 322 177 1 123\n",
      "4 322 177 0 123\n",
      "0 322 177 0 123\n",
      "0 321 177 0 123\n",
      "0 318 177 0 123\n",
      "0 313 177 0 123\n",
      "0 307 177 0 123\n",
      "0 300 177 0 123\n",
      "0 292 177 0 123\n",
      "0 284 177 0 123\n",
      "0 277 177 0 123\n",
      "0 268 177 0 123\n",
      "0 260 177 0 123\n",
      "0 253 178 0 123\n",
      "0 249 178 0 123\n",
      "1 249 178 1 123\n",
      "0 247 178 1 123\n",
      "0 245 178 1 123\n",
      "0 243 178 1 123\n",
      "4 243 178 0 123\n",
      "0 242 178 0 123\n",
      "0 242 178 0 123\n",
      "0 239 178 0 123\n",
      "0 236 178 0 123\n",
      "0 235 177 0 123\n",
      "0 233 176 0 123\n",
      "0 231 176 0 123\n",
      "0 231 175 0 123\n",
      "1 231 175 1 123\n",
      "0 229 175 1 123\n",
      "4 229 175 0 123\n",
      "0 229 175 0 123\n",
      "0 229 174 0 123\n",
      "7 229 174 1 123\n",
      "2 229 174 3 123\n"
     ]
    }
   ],
   "source": [
    "#名字可以随便取\n",
    "def mouse_callback(event,x,y,flags,userdata):\n",
    "    print(event,x,y,flags,userdata)\n",
    "    if event == 2:\n",
    "        cv2.destroyAllWindows()\n",
    "\n",
    "cv2.namedWindow('mouse',cv2.WINDOW_NORMAL)\n",
    "cv2.resizeWindow('mouse',640,360)\n",
    "\n",
    "#设置鼠标回调函数\n",
    "cv2.setMouseCallback('mouse',mouse_callback,'123')\n",
    "\n",
    "#显示窗口和背景\n",
    "#生成全黑的图片\n",
    "img = np.zeros((360,640,3),np.uint8)\n",
    "\n",
    "while True:\n",
    "    cv2.imshow('mouse',img)\n",
    "    key = cv2.waitKey(0)\n",
    "    if key & 0xFF == ord('q'):\n",
    "        break\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10a4154c",
   "metadata": {},
   "source": [
    "### TrackBar控件\n",
    "* createTrackbar(trackbarname,winname,value,count,onChange)创建TrackBar空间，value为trackbar的默认值count为bar的最大值，最小为0\n",
    "* getTrackbarPos(trackbarname,winname)获取TrackBar当前值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ae4ab93a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from utils import cv_show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "18c19a4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "cv2.namedWindow('trackbar',cv2.WINDOW_NORMAL)\n",
    "cv2.resizeWindow('trackbar',640,360)\n",
    "\n",
    "def callback(value):\n",
    "#     print(value)\n",
    "    pass\n",
    "    \n",
    "cv2.createTrackbar('R','trackbar',0,255,callback)\n",
    "cv2.createTrackbar('G','trackbar',0,255,callback)\n",
    "cv2.createTrackbar('B','trackbar',0,255,callback)\n",
    "\n",
    "img = np.zeros((480,640,3),np.uint8)\n",
    "\n",
    "while True:\n",
    "    #获取当前trackbar的值\n",
    "    r = cv2.getTrackbarPos('R','trackbar')    \n",
    "    g = cv2.getTrackbarPos('G','trackbar')    \n",
    "    b = cv2.getTrackbarPos('B','trackbar')\n",
    "    \n",
    "    #改变背景图颜色\n",
    "    img[:] = [b,g,r]\n",
    "    cv2.imshow('trackbar',img)\n",
    "    \n",
    "    key = cv2.waitKey(1)\n",
    "    if key & 0xFF == ord('q'):\n",
    "        break\n",
    "        \n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40cd9fe9",
   "metadata": {},
   "source": [
    "## 2.OpenCV基础知识和绘制图形\n",
    "### OpenCV的彩色空间"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2602db8a",
   "metadata": {},
   "source": [
    "#### opencv用的最多的就是HSV（HSB） \n",
    "* H->Hue：色相用角度度量，取值范围0°~360°\n",
    "* S->Saturation:饱和度，表示颜色接近光谱色的成都  0-100%\n",
    "* V->Value:明度，表示颜色明亮的程度   0-100%\n",
    "\n",
    "#### HSL\n",
    "* H->Hue：色相用角度度量，取值范围0°~360°\n",
    "* S->Saturation:饱和度，表示颜色接近光谱色的成都  0-100%\n",
    "* L->Lightness:亮度"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2553f5a",
   "metadata": {},
   "source": [
    "### YUV\n",
    "#### 是一种颜色编码方法，常使用在各个视频处理组件中。YUV在对照片或视频编码时，考虑到人类的感知能力，允许降低色度的带宽。\n",
    "* Y->Luma:灰阶值,\"U\"、\"V\"表示的则是色度，作用时描述影像色彩及饱和度，用于指定像素颜色"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "befb6b1b",
   "metadata": {},
   "source": [
    "### 色彩空间的转换\n",
    "* cvtColor(img,colorspace):颜色转换的关键API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a231d30a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from utils import cv_show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8e378fef",
   "metadata": {},
   "outputs": [],
   "source": [
    "def callback(value):\n",
    "    pass\n",
    "\n",
    "cv2.namedWindow('color',cv2.WINDOW_NORMAL)\n",
    "cv2.resizeWindow('color',640,480)\n",
    "\n",
    "img = cv2.imread('cat.jpeg')\n",
    "\n",
    "colorspaces = [cv2.COLOR_BGR2RGBA,cv2.COLOR_BGR2BGRA,\n",
    "              cv2.COLOR_BGR2GRAY,cv2.COLOR_BGR2HSV,\n",
    "              cv2.COLOR_BGR2YUV]\n",
    "cv2.createTrackbar('curcolor','color',0,4,callback)\n",
    "\n",
    "while True:\n",
    "    index = cv2.getTrackbarPos('curcolor','color')\n",
    "    \n",
    "    #颜色空间转换API\n",
    "    cvt_img = cv2.cvtColor(img,colorspaces[index])\n",
    "    cv2.imshow('color',cvt_img)\n",
    "    key = cv2.waitKey(10)\n",
    "    if key & 0xFF == ord('q'):\n",
    "        break\n",
    "\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8c0509c",
   "metadata": {},
   "source": [
    "### OpenCV的重要数据结构--Mat\n",
    "* 由header和data组成"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74159ad2",
   "metadata": {},
   "source": [
    "### Mat共享数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "69e425ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from utils import cv_show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "13c5fc77",
   "metadata": {},
   "outputs": [],
   "source": [
    "img = cv2.imread('cat.jpeg')\n",
    "\n",
    "#浅拷贝\n",
    "img2 = img.view()\n",
    "\n",
    "#深拷贝\n",
    "img3 = img.copy()\n",
    "\n",
    "img[10:100,10:100] = [0,0,255]\n",
    "cv2.imshow('img',np.hstack((img,img2,img3)))\n",
    "# cv2.imshow('img',img)\n",
    "# cv2.imshow('img2',img2)\n",
    "# cv2.imshow('img3',img3)\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df199bcc",
   "metadata": {},
   "source": [
    "### 访问图像（Mat）的属性\n",
    "#### 图像的分割与融合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0bfc1fb5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from utils import cv_show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "077266da",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1200, 1920, 3)\n",
      "6912000\n",
      "uint8\n"
     ]
    }
   ],
   "source": [
    "img = cv2.imread('cat.jpeg')\n",
    "#shape属性中包括了三个信息\n",
    "#高度，长度和通道数\n",
    "print(img.shape)\n",
    "\n",
    "#图像占用多大空间\n",
    "#高度*长度*通道数\n",
    "print(img.size)\n",
    "#图像中每个元素的位深\n",
    "print(img.dtype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "017344e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#分割与融合\n",
    "img = np.zeros((480,640,3),np.uint8)\n",
    "# 分割通道\n",
    "b,g,r = cv2.split(img)\n",
    "#修改颜色\n",
    "b[10:100,10:100] = 255\n",
    "g[10:100,10:100] = 255\n",
    "#合并通道\n",
    "img2 = cv2.merge((b,g,r))\n",
    "cv2.imshow('img',np.hstack((b,g)))\n",
    "cv2.imshow('img2',np.hstack((img,img2)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec31c03e",
   "metadata": {},
   "source": [
    "### 绘制图形\n",
    "* line(img,pt1,pt2,color,thickness,lineType,shift)画直线\n",
    "    * img:在哪个图像上画线\n",
    "    * pt1,pt2:开始点，结束点。指定线的开始与结束位置\n",
    "    * color:颜色\n",
    "    * thickness:线宽\n",
    "    * lineType:线型，-1，4，8，16 默认8\n",
    "    * shift:坐标缩放比例\n",
    "* rectangle()参数同上 画矩形\n",
    "* circle(img,center,redius,color[,thickness[,lineType[,shift]]])中括号内参数表示可选参数，画圆\n",
    "* ellipse(img,中心点,长宽的一半，角度，从哪个角度开始，从哪个角度结束) ,画椭圆"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9e0fa82f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from utils import cv_show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "519ef527",
   "metadata": {},
   "outputs": [],
   "source": [
    "img = np.zeros((480,640,3),np.uint8)\n",
    "cv2.line(img,(10,20),(300,400),(0,0,255),5,4)\n",
    "cv2.line(img,(80,100),(380,480),(0,0,255),5,16)\n",
    "cv2.rectangle(img,(80,100),(200,200),(0,255,0),5,16)\n",
    "cv2.circle(img,(320,240),50,(0,255,0),5,16)\n",
    "cv2.ellipse(img,(200,100),(100,80),0,0,360,(0,255,0),5)\n",
    "cv2.ellipse(img,(400,100),(100,80),45,0,360,(0,0,255),5)\n",
    "cv2.imshow('draw',img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93e406c1",
   "metadata": {},
   "source": [
    "### 绘制多边形\n",
    "* polylines(img,pts,isClosed,color[,thickness[,lineType[,shift]]]) 画多边形\n",
    "* fillPoly填充多边形\n",
    "* putText(img,text,org,fontFace,fontScale,color[,thickness[,lineType[,shift]]])绘制文本\n",
    "    * text要绘制的文本\n",
    "    * org文本在图片中的左下角坐标\n",
    "    * fontFace字体类型\n",
    "    * fontScale字体大小"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "a0206e55",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from utils import cv_show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "634c73d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "img = np.zeros((800,800,3),np.uint8)\n",
    "pts = np.array([(250,100),(150,300),(50,280)],np.int32)\n",
    "#注意pts是三维的\n",
    "cv2.polylines(img,[pts],True,(0,0,255),5)\n",
    "\n",
    "#填充多边形\n",
    "cv2.fillPoly(img,[pts],(0,0,255))\n",
    "\n",
    "#绘制文本信息\n",
    "cv2.putText(img,'Hello_OpenCV',(180,100),cv2.FONT_HERSHEY_COMPLEX,2,[0,0,255])\n",
    "\n",
    "cv2.imshow('draw',img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "1bebfa59",
   "metadata": {},
   "outputs": [],
   "source": [
    "#使用OpenCV绘制中文\n",
    "#使用Pollow包\n",
    "from PIL import ImageFont,ImageDraw,Image\n",
    "\n",
    "#纯白\n",
    "# img = np.full((800,800,3),fill_value=255,dtype=np.uint8)\n",
    "img = cv2.imread('cat.jpeg')\n",
    "#导入字体文件\n",
    "font = ImageFont.truetype('msyhbd.ttc',35)\n",
    "\n",
    "#创建一个pillow的图片\n",
    "img_pil = Image.fromarray(img)\n",
    "\n",
    "draw = ImageDraw.Draw(img_pil)\n",
    "\n",
    "#利用draw去绘制中文\n",
    "draw.text((10,150),'你好，我好，大家好',font=font,fill = (0,255,0,0))\n",
    "\n",
    "#重新变回ndarray\n",
    "img = np.array(img_pil)\n",
    "\n",
    "cv2.imshow('img',img)\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56fada79",
   "metadata": {},
   "source": [
    "### 作业\n",
    "* 按下l，拖动鼠标，可以绘制直线\n",
    "* 按下r，拖动鼠标，可以绘制矩形\n",
    "* 按下c，拖动鼠标，可以绘制圆，拖动的长度可以作为半径"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "3931766d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "413e216a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#这是一个全局标志，判断要画什么类型的图\n",
    "curshape = 0\n",
    "startpos = (0,0)\n",
    "\n",
    "#创建背景图\n",
    "img = np.zeros((480,640,3),np.uint8)\n",
    "\n",
    "#要监听鼠标的行为，所以必须通过鼠标回调函数实现\n",
    "def mouse_callback(event,x,y,flags,userdata):\n",
    "    #引入全局变量\n",
    "    global curshape,startpos\n",
    "    if event == cv2.EVENT_LBUTTONDOWN:\n",
    "        #记录起始位置\n",
    "        startpos = (x,y)\n",
    "    elif event == cv2.EVENT_LBUTTONUP:\n",
    "        #判断要画什么类型的图\n",
    "        if curshape == 0:#画直线\n",
    "            cv2.line(img,startpos,(x,y),(0,0,255),3)\n",
    "        elif curshape == 1:#画矩形\n",
    "            cv2.rectangle(img,startpos,(x,y),(0,0,255),3)\n",
    "        elif curshape == 2:  #画圆\n",
    "            #计算半径\n",
    "            a = (x-startpos[0])\n",
    "            b = (y-startpos[1])\n",
    "            r = int((a**2+b**2)**0.5)\n",
    "            #画圆的时候，半径必须是整数\n",
    "            cv2.circle(img,startpos,r,(0,0,255),3)\n",
    "        else:#按下其他按键\n",
    "            print('暂不支持绘制其他图形')\n",
    "\n",
    "#创建窗口\n",
    "cv2.namedWindow('drawshape',cv2.WINDOW_NORMAL)\n",
    "cv2.setMouseCallback('drawshape',mouse_callback)\n",
    "\n",
    "while True:\n",
    "    cv2.imshow('drawshape',img)\n",
    "    key = cv2.waitKey(1)\n",
    "    if key == ord('q'):\n",
    "        break\n",
    "    elif key == ord('l'):\n",
    "        curshape = 0\n",
    "    elif key == ord('r'):\n",
    "        curshape = 1\n",
    "    elif key == ord('c'):\n",
    "        curshape = 2\n",
    "\n",
    "        \n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c74123e",
   "metadata": {},
   "source": [
    "## 图像的算术与位运算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "0d94bdf1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "47e59d46",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1200, 1920, 3)\n",
      "(1200, 1920, 3)\n"
     ]
    }
   ],
   "source": [
    "cat = cv2.imread('cat.jpeg')\n",
    "dog = cv2.imread('dog.jpeg')\n",
    "\n",
    "print(cat.shape)\n",
    "print(dog.shape)\n",
    "# new_cat = cv2.resize(cat,(dog.shape[:-1][::-1]))\n",
    "# new_img = cv2.add(cat,dog)\n",
    "# print(new_cat[0:5,0:5])\n",
    "# print(new_cat[0:5,0:5]+100)\n",
    "cv2.imshow('cat.dog',cv2.add(cat,dog))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e9a17b8",
   "metadata": {},
   "source": [
    "### 图像的融合\n",
    "* cv2.addWeighted(src1,alpha,src2,beta,gamma)\n",
    "* 图片的融合操作相当于对图片进行线性运算w1*x1+w2*x2+b，其中alpha是第一个权重参数，beta是第二个权重参数,gamma是偏差"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "7e4ae6d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "cat = cv2.imread('cat.jpeg')\n",
    "dog = cv2.imread('dog.jpeg')\n",
    "\n",
    "res = cv2.addWeighted(cat,0.4,dog,0.6,0)\n",
    "cv2.imshow('cat_dog',res)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "c2d77823",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "196\n",
      "221\n",
      "-256\n",
      "25\n"
     ]
    }
   ],
   "source": [
    "#OpenCV的逻辑运算--与或非 异或\n",
    "# OpenCV中的逻辑运算就是对应位置元素进行与或非，异或\n",
    "print(204 & 213)\n",
    "print(204 | 213)\n",
    "print(~255)\n",
    "print(204 ^ 213)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "18953fc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "#读取图片\n",
    "cat = cv2.imread('cat.jpeg')\n",
    "dog = cv2.imread('dog.jpeg')\n",
    "#非操作\n",
    "cat_not = cv2.bitwise_not(cat)\n",
    "\n",
    "# cv2.imshow('not',np.hstack((cat,cat_not)))\n",
    "# print(cat[:2,:2])\n",
    "# print(cat_not[:2,:2])\n",
    "\n",
    "#与操作\n",
    "# cat_and = cv2.bitwise_and(cat,dog)\n",
    "# cv2.imshow('not',np.hstack((cat,cat_and)))\n",
    "\n",
    "# #或操作\n",
    "# cat_or = cv2.bitwise_or(cat,dog)\n",
    "# cv2.imshow('not',np.hstack((cat,cat_or)))\n",
    "\n",
    "#异或\n",
    "cat_xor = cv2.bitwise_xor(cat,dog)\n",
    "cv2.imshow('not',np.hstack((cat,cat_xor)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bc8a734",
   "metadata": {},
   "source": [
    "### 图像的放大与缩小\n",
    "* resize(src,dsize[,dst[,fx[,fy[,interpolation]]]])\n",
    "* src:要放缩的图片\n",
    "* dsize:缩放后的图片大小，元组和列表表示均可\n",
    "* dst:可选参数，缩放后的输出图片\n",
    "* fx,fy:x轴、y轴的缩放比\n",
    "* interpolation:插值算法\n",
    "  * 临近插值，速度快，效果差\n",
    "  * 双线性插值，使用原图中的四个点进行插值，默认\n",
    "  * 三次插值，原图中的16个点\n",
    "  * 区域插值，效果最好，计算时间长"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "81292492",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "dog = cv2.imread('dog.jpeg')\n",
    "\n",
    "new_dog = cv2.resize(dog,dsize = (800,800),interpolation = cv2.INTER_NEAREST)\n",
    "cv2.imshow('dog',new_dog)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfd4eada",
   "metadata": {},
   "source": [
    "### 作业\n",
    "* 1.引入图片.dog\n",
    "* 2.设计LOGO图片\n",
    "* 3.规划一下logo放置位置，在添加的位置变成黑色\n",
    "* 4.利用add方法，把logo和图片叠加在一起"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "714b7850",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "#导入图片\n",
    "dog = cv2.imread('dog.jpeg')\n",
    "\n",
    "#创建LOGO\n",
    "logo = np.zeros((200,200,3),np.uint8)\n",
    "\n",
    "#绘制logo\n",
    "logo[20:120,20:120]=[0,0,255]\n",
    "logo[80:180,80:180]=[0,255,0]\n",
    "\n",
    "#掩码\n",
    "mask = np.zeros((200,200,3),np.uint8)\n",
    "mask[20:120,20:120]=255\n",
    "mask[80:180,80:180]=255\n",
    "m = cv2.bitwise_not(mask)\n",
    "\n",
    "#选择dog添加log的位置\n",
    "roi = dog[0:200,0:200]\n",
    "\n",
    "#roi与m进行与操作\n",
    "tmp = cv2.bitwise_and(roi,roi,mask=m)\n",
    "\n",
    "dst = cv2.add(tmp,logo)\n",
    "\n",
    "cv2.imshow('dst',dst)\n",
    "dog[:200,:200] = dst\n",
    "cv2.imshow('dog',dog)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5235a01",
   "metadata": {},
   "source": [
    "### 图像的旋转\n",
    "* flip(src,flipCode)\n",
    " * flipcode=0表示上下翻转\n",
    " * flipCode>0表示左右翻转\n",
    " * flipCode<0上下+左右"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ca9feb2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "dog = cv2.imread('dog.jpeg')\n",
    "\n",
    "new_dog = cv2.flip(dog,flipCode=-1)\n",
    "cv2.imshow('dog',new_dog)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8c5e2cd",
   "metadata": {},
   "source": [
    "### 图像的旋转\n",
    "* rotate(img,rotateCode)\n",
    " * ROTATE_90_CLOCKWISE 90°顺时针\n",
    " * ROTATE_180 180°\n",
    " * ROTATE_90_COUNTERCLOCKWISE 90°逆时针"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9c273030",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "dog = cv2.imread('dog.jpeg')\n",
    "\n",
    "new_dog = cv2.rotate(dog,rotateCode=cv2.ROTATE_180)\n",
    "cv2.imshow('dog',new_dog)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ee83fa3",
   "metadata": {},
   "source": [
    "### 仿射变换之图像平移\n",
    "* warpAffine(src,M,dsize,flags,mode,value)\n",
    "* M:变换矩阵\n",
    "* dsize:输出图片大小\n",
    "* flag:与resize中的插值算法一致\n",
    "* mode:边界外推法标志\n",
    "* value:填充边界值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "82181a43",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "dog = cv2.imread('dog.jpeg')\n",
    "\n",
    "h,w,ch = dog.shape\n",
    "M = np.float32([[1,0,-100],[0,1,200]])\n",
    "\n",
    "new = cv2.warpAffine(dog,M,(w,h))\n",
    "cv2.imshow('dog',new)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfed20aa",
   "metadata": {},
   "source": [
    "### 放射变换之获取变换矩阵\n",
    "* getRotationMatrix2D(center,angle,scale)\n",
    " * center中心点，以图片的哪个点作为旋转时的中心点\n",
    " * angle角度:旋转的角度，按逆时针旋转\n",
    " * scale缩放比例:想把图片进行什么样的缩放\n",
    "* getAffineTransform(src[],dst[])通过3点可以确定变换后的位置，相当于解方程，3个点对应三个房产，能解出偏移的参数和旋转的角度\n",
    " * src原目标的三个点\n",
    " * dst对应变换后的三个点"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4a579e71",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "dog = cv2.imread('dog.jpeg')\n",
    "\n",
    "h,w,ch = dog.shape\n",
    "#注意旋转的角度为逆时针\n",
    "M = cv2.getRotationMatrix2D((100,100),15,1.0)\n",
    "#以图像中心点旋转\n",
    "# M = cv2.getRotationMatrix2D((w/2,h/2),15,1.0)\n",
    "\n",
    "new = cv2.warpAffine(dog,M,(w,h))\n",
    "cv2.imshow('dog',new)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d9e1fe54",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "dog = cv2.imread('dog.jpeg')\n",
    "\n",
    "h,w,ch = dog.shape\n",
    "\n",
    "#一般是横向和纵向的点，所以一定会有两个点横坐标相同，2个点纵坐标相同\n",
    "src = np.float32([[200,100],[300,100],[200,300]])\n",
    "dst = np.float32([[100,150],[360,200],[280,120]])\n",
    "\n",
    "#注意旋转的角度为逆时针\n",
    "M = cv2.getAffineTransform(src,dst)\n",
    "#以图像中心点旋转\n",
    "# M = cv2.getRotationMatrix2D((w/2,h/2),15,1.0)\n",
    "\n",
    "new = cv2.warpAffine(dog,M,(w,h))\n",
    "cv2.imshow('dog',new)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c755e39e",
   "metadata": {},
   "source": [
    "### 放射变换之透视变换\n",
    "* warpPerspective(img,M,dsize,....)\n",
    "* 对于透视变换来说，M是一个3*3的矩阵\n",
    "* getPerspectiveTransform(src,dst)获取透视变换的变换矩阵，需要4个点，即图片的4个角"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "195118c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2 \n",
    "import numpy as np\n",
    "\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "src = np.float32([[100,1100],[2100,1100],[0,4000],[2500,3900]])\n",
    "dst = np.float32([[0,0],[2300,0],[0,3000],[2300,3000]])\n",
    "M = cv2.getPerspectiveTransform(src,dst)\n",
    "\n",
    "new = cv2.warpPerspective(img,M,(2300,3000))\n",
    "cv2.namedWindow('img',cv2.WINDOW_NORMAL)\n",
    "cv2.resizeWindow('img',640,480)\n",
    "\n",
    "cv2.namedWindow('new',cv2.WINDOW_NORMAL)\n",
    "cv2.resizeWindow('new',640,480)\n",
    "\n",
    "cv2.imshow('new',new)\n",
    "cv2.imshow('img',img)\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d321dad3",
   "metadata": {},
   "source": [
    "### 卷积\n",
    "* filter2D(src,ddepth,kernel[,dst[anchor[,delta[,borderType]]]])\n",
    " * ddepth是卷积之后图片的位深，即卷积之后图片的数据类型，一般设为-1，表示和原图类型一致\n",
    " * kernel是卷积核大小，用元组或者ndarray表示，要求数据类型必须是float型\n",
    " * ancher锚点，即卷积核中心点，是可选参数，默认是(-1,-1)\n",
    " * delta可选参数，表示卷积之后额外加的一个值，相当于线性方程中的偏差，默认是0\n",
    " * borderType边界类型，一般不设"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ab1fb98a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "gray_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "#相当于原始图片中的每个点都被平均了一下，所以图像变模糊了\n",
    "# kernel = np.ones((5,5),np.float32)/25\n",
    "\n",
    "#尝试其他卷积核\n",
    "# kernel = np.array([[-1,-1,-1],[-1,8,-1],[-1,-1,-1]])   #轮廓，突出边缘\n",
    "kernel = np.array([[-2,1,0],[-1,1,1],[0,1,2]])   #浮雕\n",
    "# kernel = np.array([[0,-1,0],[-1,5,-1],[0,-1,0]])   #锐化\n",
    "\n",
    "#ddepth = -1,表示图片的数据类型不变\n",
    "dst = cv2.filter2D(gray_img,-1,kernel)\n",
    "\n",
    "#很明显卷积之后的图片模糊了\n",
    "cv2.imshow('img',np.hstack((gray_img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5101bfc3",
   "metadata": {},
   "source": [
    "### 方盒滤波和均值滤波\n",
    "* boxFilter(src,ddepth,ksize[,dst[,anchor[,normalize[,borderType]]]])\n",
    " * 方盒滤波的卷积核的形式如下：\n",
    " * K = a[[1,1,1...1],\n",
    "       [1,1,1...1],\n",
    "       [1,1,1...1],\n",
    "       [........],\n",
    "       [1,1,1...1],]\n",
    " * normalize(标准化) = True时,a=1/(W*H)滤波器的宽高\n",
    " * normalize = False时，a=1\n",
    " * 一般情况下都使用normalize = True的情况，这时 方盒滤波等价于均值滤波\n",
    "* blur(src,ksize[,dst[,anchor[,borderType]]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "aa2d8caf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "# dst = cv2.boxFilter(img,-1,(5,5),normalize=True)\n",
    "dst = cv2.blur(img,(5,5))\n",
    "\n",
    "cv2.imshow('img',np.hstack((img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "attachments": {
    "image.png": {
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+r/jA4d3Ze9/69R9rLtYztMSxgCSFyIg1ixYt6+kZYBlR4GVn+dJWKfCSwEuSJIui6Obu9pOf/qSnr1uQBYqhaI7FIyeGh0FjoiSL0MlWYnloLcIY+dZvf48xkhMkBtpiOIphbBSJzEHiQs9FU2dMtdgsFEsJkiACkRNYQRIESeBETgYywzMSkERJ6O3v9fXz+8lPf3ryzGnMSDzCUZpjOYGXZFmQJBtJAgAOHz3ym9/9ruzQQYK0UQyDvX/xzcORddCp9X/D2Egb/QRGfunjmrB+3bz5HhqtlkShnl/Sl86g9/H3Wx0TTdI0bCwORoWXFvRGk8liBQDcudfuuWRF9u4CmpFFCbCcPH3mLP+AQIKkkcvr6OSp05cs89pbsL+07ODhI0cOHT546PDBktLiXRm7Zs+dFZ8QL0oiQREnT5/8bPKkkrIyAEB3X++91pbOR4+CQkI2bdlyoebS9Zu3cvP2+q0MvH23pfnq9d6+/uDQ8I/Gf6IbM0jQTAoxsvripbnu8zKzc6DJUQbt9zv37tt3r7VFlMTIqIiFngu1eq0oia0drW3tba1trdeuX7tSe6XmUs3ho4eWLFuSt3fP1WtXL9ZcbGhouH3ndktra1t7+9DwMMUwFMNI0DN57MPx46LXxGCiJkhyTXxccFjo6JhOhH1EutNyb/bcOYfLj/r6+0+fOVOt0UiyRDIQIwVJPF1x1t1j/q6MTI4XKIbbkZYeEBRS39gMANi7r3BNXPzN27cnfDZx7fp1XzKkhSDWJW7420cfdnQ+EESxq6dn3vz5K3x8CJvtXsu9q9evt7S0tLa1NTY1VlZVrY6O3pWRUVtXW99QX1tXW1sHl3q0rPD1iV0bf/3G9Y7791taW2/cvHnn7l2T2Yx9aEVJGtFotqem/uSnP337nbfnL1p46OiR7r5eXhQI0rZo8eIVPt6qEWidxj3WYY10O1CCrZE4NpJGsZHPcWqdOWc6xdqtkTRHssi7FYOlUhYkjuXpEe3I/YcP1JoR7FKLdf6aweTrZ191tQiG6KMIi2/5H6Trci4NuDTg0oBLAy4NuDTwVRp4EUZiUySyswkUA10BRzSjer2RYbiMjMzw8AiMkY8edQcEBP3sZ2/6+gR4LvJ64403V0fGzZrlsWSJD0VyHAsEHnCsFBwc4eGxqLurn2UElhWdheMkFkUoioJI0/S0GdPeePONh12dvMjZKBt2GUVrGMLIcBCusCgY+bs//OnM2Uo0ZBdZHu5AsxyOaeRFfqHngmkzp9koguZoEUDzoyhhm6TACRy2RopAVA2rAoMDf/wf/5G4MWnMoJeRqQ36nbIszqDDiwhbAVy270j9f/6///dsZSV2TEWjHJ4VoGCMzMj84v//93/HGInJEFsjSZqGsZHublr9GMOyNAtjEXUGvX9AAMRIhrbRFMUyHEzVw8GcPKJMMZwoya3tnZ5LvDOz8jke8AKgWXHGrDm+/gFmq02GkZPaqdNnfunAea+ltb2jo72jo6Ojvb2jvaW15eatm6ujI0NXhcpAJiji9NnTn0ycUH4c+gMbLeYhlaqqumrKtGm7c3NhyhyGaWi66uXtu2lryqOurkddXdNmzAoICsHozosyK4iVVRdQip0cxNWy0WRRqUdMFjPFUrFr17h7uGv1WoZnUlJTfPy8V/iucPNwmzRl0meff/be397771/997vv/XnajKmfTvp0yvQpi5Z4enl7+/r7HztxgkWpZSSkjfGffBK1JoYXoaG1p6/v4wmfbElJQdl8oIOoVqctPVg2dfq03//xjwePHKYZGr7yEHhBkiiG9vb1Wx295kHnIxtFixLYkZbuuWRZQ9NVUZRUavX5quqE9esnT53S0NwkStDyuXHzpr99+OGDR9Cx9s69ewFBQTt2pT3q6fYLWDnHbe6yFV5LvZbPWzD/bx9+8NOf/ezNX/5y0uTPP58yZcLETyd+PmnCZxMnTZk8Zdq0N37+8//82Rtu89wDg4NX+Pi4z/dYtsLrbmuLDADDsharNSl54//+jx9vSEo6W1kZGBI8edrUNfFxvX19DMfOX7RwZWDAvbbWh11dXT09Xb09XT092TlZs+ZOLyrex/AUjo1kUWwkixxWsc+qEhs5c840Z4xkeIpFgt1cGZ6iORvN2UiGKD9+dPHSJZm7s40WM+y0qMfCNf/6yFc97Fzbvy8a+Cps5pTu+hWF70sDXfV0acClAZcGXBpwaeA10MBLMNJujUTumtBOIoiCIBMElZmZHRa2Cju1dnf3hodHjB/3yeZNW1NTd+3cmfXphClvvvlW5bkaSQQmk00/ZtSPGRcsWDJ3jsfg4IgkAYYRnYVlRehsB5lJoCgKY2RnVycncgRFPoWRMOoLea5ixAIwCcrx3/3x7Ypz5wEAeqNJpzdox/Q6vX5MrzcYjSNajdu8udNnThtQDWh0Gr1Brzfox/RjOr3OYrNIsgQAMBPmvsG+mLiY//m//mfSpo1mwgoRVJKU2Mgxo0E9qlGPavQGg8FofNTVtcLX54/vvN3a0cFLIh6O8yL0fVUwMitn98/efHPTli1mgqBYhuE5CIcoU2tcwtrPp0558OjhmH4Mn/DBo4e+/n4xsWvMVqvFRtgoaINlOIjNnCCRDMdwYvXFK7PnLti7r5TlAQvDI2WMkTQLc5aqRkbnuHn85vd/XLBoiZePn+/KlX4rfX1X+i5etniO2+y/fvDX7Tu3I2DmMEYeKYc+qPcfdiZtSv7bhx/EJaw9XVFhtFiMJsuNW7fTv8gaP+HT9MzsoJCw8RMmNjRdhXCO8tiygnTufPXM2XMzd+fSrIAuDp1dKZax2iwxcdFz583V6DS8yB86cnDt+rXrNqzbvHVz1u6sHbt2/OjH//7mL96c8NmERUsWFewv2L5j+8ZNyRuSkhKTkuobG3G4IMRIvf6TTz+NjIoSRJGiqYrKc3/76MMzKDASmnZ5vr2j3dff/99/9KP/+M+fHD91krDZeORByosiQZLlx493PuombKTeaBrRjMYnrJ8+c/bN23dZGEop3Wtp+a9f/ypl+zaW5602G8vzaRnp7/71vZt3blsJorC42Mvbu7isVKUe3pWRsSExcd2GDdFr1hTs3xeXsPYX//VfAUFBuzIytqSkbN2WkrpzR/KWzdtSU9N27Zo8derMObOTN29OTErakJSUlLxx67aU3oF+ThB0Y7p9RYU//dkbCRvWmywWURIfdnfl5OaO++TjpORkk8WyMijw7T//OSg0JDgsNDQ8fNXqyNDw8E8nfvr+h+8dPFLyChj54yetkXazpMKQGCNJxkqxtpTUlH/7939b5uWl1eth7mXkjA39sUXh9REBOga75PuoAWRyhF4wzxH4sgP6Yz9+9/E8mHwN/iu7mvAdaeDvfWi4Ul67NODSgEsDP3QNvAQjUdoYUZQknD6U5XiEkWRmZnZ4WMTYmEGWwfCw+uLFmsbGZlGUOE542Nk/fbpbQEC41UpbzGR11aVdaVnbUtL+/M5fw0IjrRZSEABDC0hEXGBZgWFYBi4sQdhmzJrx81/87DkYibCKZnmIkcjkyPAi8i899tvf//Hk6QrCZttfdGBb6s6U7ak70tK2pabuTE9PSd323t/e+/N7f07ekrx95/Ydu3bsTN+Zsn3r1m1bzpw9Q1CEIPBXb1xdHR35i//+RUh4iMlq5kXRRpEkQ8N8LRw3rNEcLj+asn3blxbIHWk709LT/QJWjv/kk+KSEovNRrMwYQkrCEjsGGmyWmouX14TF3e2spJmWYIkKZaxURTDcV+u4xMS3vrdb5M2JW9LTd2+c0daRvq6DRs+GPfRmrg4vdFoslosiDxh3lHku0uz/Je2pJjYhN/+7p3z1VcoWqIYmeXlmcgaSTGcDCcgGZ3rPv+jjz8JDgmPjIqJjY+PjV8TG79mdfTq6DXRGzZuuHjpgiiLvMDn5udOmDjhMMLI/H0F4z4en5aRbqMpQZKg2zDPcxyvN5qrL146W1k1YeKkkLBVFMNyArTxcqLECuLZyqrZc+d9kbXbQlA0CwkOpzY1WoyR0ZFz3OeoRlQ8HAgyNEfzAs8LvGpYlbk7c/yE8Tm5OcdOHktJTXnQ+QB/xfNwBwHrHEVCjmi1kyZ/HhAUBF2mOx/4+PsFhQQPqYd5QTBZLPVNjZ5Ll3w8YcLadQnx6xLmL1pYeKDIStokmF8HGiQlSTKaLSdPV+xM/yJ5S8rHEyYGhoR1PupGhs2BefMXvPveX27cviVKksFkEiWp+uLFt9/9c/SamJw9uR99PD4oOPjGrVsMy3Jo4Xme5biOjo7E5I3zFy3sHegXRBEbupUCy3E+/n6h4eFmi4UXBEmW0BqmjVWNqNMy0n//pz8GhgRbCEJC9lIYNilJh8uPbt22bVSnC4+M+OV//dLX3y8kLCwwOCg4LDQwOGjc+HHv/vWdssMl7FdbI3kJZmr96c9/MmvuDIolMDfS3HMw0pF9h66tv5KwPuHM2Qqj2WyjKIqhobAMzcL8tK+HYF9x1/o10wCF4p8plPvqBST5HRHID30k8f1XO8yd8PcITMTtEpcGXBpwaeAHroGXYKSiHfu8iLwgCDJFMufOnd+/r8hqtUkikGUoNDSfiYSVrqttPnDgYHd3PwBAM6I7cKDM3y/Q03NZZERUbW29LAFBgLMWwOn5eIidqADn8eM4lmbgJJFbtm5aGeivHhkWRJ6BNjnOITzHC1h4QcQFAEB9Y1P4qohr128MqzWJG5OXLfdasnSZj5/vMq/l3j7evv6+IWEhwaFBy7yW+vp5+/h6e/uuWLZ86eIlnlm7s/QGnY20Vl+oWui5YMfO7dqxUbPVTLM0SZFwGkuaIilSpValpe/y9vH28/dbvgKec7nX8ozMDIvFQlIkh8NHRUGAU2ui/yswxY6VYRkKRUXKskzRFM2yFE2jjK/UwcOHly5btjIwwNvXd7mXl6+fr5e395JlS4tLSkwWi40krQRhtdkIkjJbCIvVNqY3jmh0cfHrvX1W9g8MUzT07BVlsGnz1szsbMJmk2XZaDJtTN4EJ0XkBVGSZCDDGFIkKPMQZbaabJTNYBwr2L83aWPivdYWWZaLS0q2p6aSFJxOEPqFcjxBUlYbSTEszXIkRR88fKS2rgEyBgPfIfAitEjfuXs3dcfOyqoqGBTKQcoiaZJiKLPVXLAvf+u2rWMGnY0iUBYkm9VmMZr0l6/ULFnqeejwQQBA30BvVnbmoSMHdWNagiRsNhthszFIPxbCKkiSyWxev2FDds5uWZav37gRFx93ufaKiLaP6fVfZGZ6+/rcuXuHYmhRkjZt2RIQGKjRaiHPoxBWThC0urG0XRnLvbwDgkK8ffwu1lwmKUYUpSt1DV4rvE+cOEGQJIfwlRd4zejo+g0blq/wWrp82XKv5dUXLhhNJrPFYrURRrNZbzCM6fWlZWV+K/2PHD0KbyKK4aQZhF5obSGIXenpu9LTB4aG0GSkIkXTgiRZbbbW9jY8QagV3SYeJj1m8KXxmrDZMjIz8/fmWwgrTtKL3chv3b65I237xUvVvMCIMs/yNC+yogznjYRzrIgsJ9C8wPYOdK8M9Nu6bTPN2BiOZDnozgp9uuHLFljAZY6n4bE8w/KMJEucwNunY8UYycCeybxUoJf190DgrXHJ66oBFoapPyH45Rdeo6+UWXyf2O2po1wfXRqAGlAskDDD3t8jjn/3LjW6NODSgEsDP2AN/N0YyfOSKMgsC/FPEoFdYLghFIiIrCQIAPmKwhhCgZdZBs6qgWhTlmUZ5dGRRBieqIgowpA3XhB5WRathNliMUmyKIgc9LmTFM87aMXBiyRJgghNkQAAnucJgqAZhueh8dBJ7AFfMHGPJLAcg+O/UIHjeZZFQ2KSJEwmg16voygCoEQ7Asy6KsDawdg8CQCJ5VgIVizDQJ6CBbQdZ+GRAJCRSPaj0IFK49DVofUJiihKssyyrNVqZVlWlCTIMsjmabPZOI6DCkI7mC0WnW5Mo2xrxMsAACAASURBVNGNasdGR3UajU6lUhsMJph7VgQSTC0ECIIwmU0cx0qygBsowcS0MFeQ7GBISRYBkG02q3pEpdVqRrUjGs2IxWLmeZgxCFoCeR5fFGWvgemLsEhoq4BuDGwnTDeKuVQQRJ6D9lc4OaEioiTQDGUyG8xmA81QHEeTJEHTNpIk9HqtXq+jaRLdfZEXWFESCJtFrVYxDE3TNEEQ8P0EdCIGgiiwLKvVaq1WK8dxGo1mbGxMRlXFiXyNJhPDwIBSEe0PbY8mk8FoHNPpjCYjx0HClmUgCBINZ+2AeTlkGYgiYFjearWZTLDtuI244VClksRyHAO7kF0bMOxTFGw2mx65RtM0RFYAgIy2w7sGe4ikrK0EYSNJCPCwh0MdwjMIgsFo1Ol0FEUpWsWd1nktOnqy80bUQPijgA2F06wI8IfgJOhFCsswlMVqImwWmiEZhoI9XGDxW3XnsuNA1Ksdt1i5169YQH0AZp11iUsD36EGcHeFARaiIAj4FSR8J8PDHGxQXBjp4udX08Dfa4HE5koJGS1dGPnk25wf8DD61TqbS10uDbyeGvgHMFIUBRmO+UUgOegRM6QoAPt2hJSyBGESfwXLcJHgv3046719BIAKkB7xwBeGaCGRIYbKuAzn3rNvh5kssUCMVEb8EsQaWC00rQIe6794rIvBDxKZyENLG8QeBg3ZITQ6BMIhPo8DFDEuPrvG43/EdnYUwGXn9VOM8MRHjI48B+eKxE2DxMpw9uyEvMDZORxIiJEwkwMgI5rm0LwSgiw/Jfb5JgCQOI6hKJJlaZ7nHG1XGOpxAV4bwz3Cocdf2EswE+pXCEQqlqVtNitFEhzH0LTNDJHSyDAUun3wBYEkCQLPiiKHqw3D8UTearWaTCaaoqB5Gi08x1mtVujjTNMmkwnG48qy1Wo1GowMTaMoSFghRGpwLSEa1+v1Go2GIklJhJ0T9j1ngdO8yFB7kv0QeBik+ycWfFq8CfdTCJmoAlgH6CB4lPI6w/5iA+ZYhQse1+JKwpxPaMFVfeKWv/wDzvFk74146hA4+4xDlKhGnmfwDwSCPXy7Yv8RCUi9WNuOo55sr+New3o/owrcHOf1M/3hm9+g3NNv/tSuM74uGnDuk6IgwFgImAQNLS6MdI3mX6QBxfaIC09ZIF/RqdWFka/naNhFgy4NuDTwD2jg78JI6FCKrZHOuIhG53DILgjQ9oi58TlrZN7CxjdsDhHgyFtEpj8MiorVEY6GEeNBzEAYCddoKMzjAbwymsdDCsiWaByMR0ro/DwCHmXqvucU0JgbuccithEliDqYdnABl3FllC2oAN/F2010DgOest2JYCG14JExRtyvGshh/EDTPSBTJowW5HGD4AQXEOrszsO4gFEZAAnaX3loGkVXt9tOHRis8DD+Fr7ER3WD9slnF/vgDFGRUmeHPnEroIHtWXHcGpiDCZEqCyvGsxQF7WOIbSCuY5LBSOm4ldDahmiRxh0DdQl4hymKwuXHFlqGgVyHFmfYs1dbkjiOoyiK4ziMkU/3QPRGQ4SE+RgjscKVMzgX8OsO5y1K2X6b0BsNZ56EZXQYtHY+WU/nu/9yfkS3B9u3cady3F97H8aaVN68IKM9Rkf8C4LvyhV6tNvzkRkTW0mdG4J/Nbi2T/2mlN2UwrN95qkteM+nNj718dmu9ezdVH7LyqWdC0+d0PXxB6IBpec4dwYBYST2I3BZI/+BEcCrHPKCSNTnfvUq5/wu9vnHbI/PsqULI10Y6dLAv5AGnvsU+j5ufMWn4lNNe8Wj/nm7vSpGwiwyMNcILyCn1icwUoQ+o5B2nH1csSEIWyyxTRLhEB5hO48DHERhxww8RH5qLT5mSOSu6fC7fPI8zp+gTUZCWIghUFkrBYcxRzGEwgKmHQGZy3AdlN2UglI3DJnYF9dRQ8hFUJwsqIiT4UAd+aPCgsIeePiO15hbBMHxVh0ZbUWoWxkmbUF2zSdhEg6/sbOig2Cfg8roKzsb40rKyM31qaEn1p1CO8qI7cnd7DiqnPPZAi+w6PxAkiCsOgRgwy9WHdQzvKFQ4U+BjVINXAGlGlhpWG/PUoeys6MHOHVFpU+irijLAGE5dotz7P7MX+dL2MnWyfz4zO5Pb8C1xQcqZklFk6+Okc+qF29R1Ig7qtJdlQ6Mu/FjdHe4wj5X2/gVBm6Douenm/R867TSJntBuV9Pf/Fqn/Hh0JXcYf51PqFSpVc7mWuv11YDSk/AXZeiYMAyNkbi/5Qup9ZvdsTw1KjlVT5+sxX4Js6GGfLZ6MdnKfGlW1wY+S+EEN9E33A153usgVd5HH2P9nlpf35uW1561D91h1fCSB6l4rQQBMNykoScAxVvVWQl46G3KbTPYTdCNFgHgiBynIjsanBiARhfh1z+lHG5YzQArVhO8thtTwE2hGrQRInP4TB/Pemh5zgd+gsv/ioYiZEGUZ/dFqpcFBcUelT4EG23W/aQLyCPDUeKbfPJfG8w9BHDIQyrQ5SInTDxuMfuioV3clqjAfQTFsgnGRLbE1/EjV8FIWg7jnx8PNDEbIOD9DDuYoOns1KxJfOFpxUdFl1JhGGuzvFTjw2SWFH47ih+zpillcthkMMMpnSbF0AOJkysvyfeaDhjpP2lhoxo6gWdR6nFEwXHyZ/Y+NwPzj0c11lRNNYz/vgUTyou2Q5TM7wPmMOfsoc7uqjzr8ZexnyudFr8S0HWaXxX7Z63ztV21iq+tPMWZU+lCS8oKI3F+OcMgV91lPM+aIYdIAgCScIwWvzEUA50vsW4YyhfuQo/KA049y5BgAHMLoz8+qOE545OMJB/1Vcv2P716/ONnuGbskNiwnRh5PeYOr7RfuXSw3evgRc8hb6PXz3bP1+9Fc8e++1seSWMFCSJ5litfoxmWDi2Q6ltnKkGeafa0+rIMhjV6FpbH1y/fqe5+WZz842Ghqu3b92lKAqPm5WBqaMAQ+aQ4KHw0xipAAnK9gITjTiYE/rEOk7y1F+Ipg6n1uf4YT7pmYlh7KW7wR2c/EUVU5u9AA1uyMLm8DaEeXrQYo8EhfljUEIIZRiEPyppXZ4ZC74UI3Gd/y6YVA555mrIYojvEUzA40hgo+yHDHJ2v98nFeisuufETzruhfNuSvlpoFUu51x46u6+7ONXWCPtSAltuP+EBVs4n1o7Mu4gSlYuiplZsXlinSt2SwdeYoyEKP6MAqGSHb8C5ecAC/jtCcvRPM/in5XD9VqCXQ9uRHmeUFXwFR1+5jCqE/dMZwxW6ux8O55bxh0Gd3IFDnFLndcYDvEWpeGOJsO/cP4YmlYYUvlKwUiO4wRBwMT73Jq4Nr72GsDdA3c2mw3OXOOyRn6dEQOc0Ot5YrfrOufCfZXyv1yEqhID+VJL46vs4MLI7x4evk5vdx37emjgsdfJqzyUvhf7PPPkdDAknlAQrmFyaceMFagAf4x4t+/qtv4dGKkz6BmWewojJZg7B470xnSGttaOlpa2lnttxcWH4uPWh4dHhYREhIVFBgaGRkXFXLp0ua2traWlpa2tjUAT6CkjVESDzx8W45ExCkQEPT1dzc2NJEU4mPMrMVIU7RiJzDgKsXzdAjYK4UA1bIFEeX1wplb7GlcYZdG02yExSuJR74MHDw4fPtzU1ESSJB4Nv3BM/G1jpCzLOp2uqqrq8uXL/f39fX19HR0der0ep4rp6elqa28hSes3qtVvFiMxIL4YI2GaIkff+weB0tleB82sjmBIfFr0LeRJxTpnf53gjFNOvs2YlDC8KdSEOxgACpYrBaUb232VMS4iF1boGS7LAsNSiBjhR/xbwGGrMKkv9AiwVwxXT+mfSiUVjHRu5kvJBGOeTqfr6+vDCjGbzQ8ePGh7cnnw4EFHR0dvby9JkgAAk8nUipaWlpb29vb79+8PDw8bjcb79+93dHQ8ePDg/v37eN3Z2dnV1WWxWPDJX1of1w6vsQacMZIg4KRBdueOZ/4Nf1f/Wb9f18UYSQs8JT4hDNInfNPkJM5+NM8tw8mH+X+lfLlw1CV+0yLgZrrWLg24NPCdaABiJHrUPPcp9H3ciJvzGI8F3j7bBC/ASd6QcLzIPxYYBIcfts5Hfcv/fb4WRqKXwXiaBtDUdDUubl1MzNqYmLXR0fFRUXERETHh4VFrYtbGxq6NjIyOiVkTGxu7evXqpKQklUqFxwGKXc5Bks+HSVHiAQAlpQc8PReo1fhYPGJ+nDDTAQbwrwAxEkdRwvU3JU4YCed+wIlkMOKOjKi7u7tRTBfKRypChuQ4XqVS4e0AgJaWlk2bNk2aNGnTpk1arZYkScX+88yAD8PVSzHSnlnHYRtUWqqQxlMFZYfnwJsoisPD6kOHDrm7u8XGxlZXV2dlZYWHh9fV1QEAzGZzTs7uxKQNg4MDeF6Wb0irz6nJM9p4yg0VW/wgtjxPYJ96HKaLLZAOH+zH22Gk7lOHO/egl5SV4D3sKkoQtqEhldVKoJcFABIi4lNcEEXRYrHcv38fd3v8QoHn+f7+/qtXr9bV1TU2NjQ2Nl6/fl2j0WCMdLh0wjhBgrD29/cyDO2kcDiny+DgQFNTY1NTY0NDw927d2w2AnVFWCMOpoyCXua8wBsM+uFhFcvSiCftNVP4kOd5jUbT0tKi0+kwB4qiyHHc7du3b926hXZTtPTyO8Xz/JUrV8rLy9G0K6JKpTpx4kRxcXEJWkpLS0tKSvC6pqbGaDQCAG7fvp2amnrgwIGSkpKDBw/m5+cfOnSora2tqKiouLi4oKAgNTU1LS2toKCguLj42LFjQ0NDuPLPdhLXlh+OBpwx0mq1KhiJ/31+h/9Qv+X/39/I5RSGpB0MSYo8FhrPnuIYkdmnVXF8fPYvzAyHgPPZr/4FtuDaOQ/Cvk7ZnsXgX6Bdriq4NPDD1cA3+6v+Ok+Er3/sVz9TYHJTLDAfPyeJnCRwEpztHd15yJ/f3SvUV8VIimV0Br3DqRXaH7FTK0zcKsKPd+7cS9uZkZW1Jzt7T27O3oKCA3l5+7Kz9+zNLyzcX5yXV5CfvzczMzMtLe3YsWNjY2PPG6dj79YnnPSw5x7GyAPFhZ9P/qy3txuNIR4PiLGNR5Ikq9Xa1dU1PDzMsngCQDgro1qt7u/rIwgrDtVD4Ipj9vCgS4nfg76peB+lAHPYoAXtCqeFdA5gQ0pAUx0KQl5+XnJyMsMyODUryokqq9Xq7Ozs/Px8ODMkywYGBiYmJra2tqpUKpZlOQ7m88R6eGb8h4fsMB8MTC6KTL6PvYjxR/uo/rGRCjvcItiAGYZGRlQDA70sSzuce59iSAgsjhlSYJnnhaLCA6tXr66urhoaGhweHt63ryAqKqqhoQHPUZmenh4XFzswMIggStGhosDnFJy0/ey3dm1jlTprAIOW83aMfA4vUHjrnyQcO+qg2wcnJnXCRRivi9QMC3ACSftcNV+Fka9qn8QVZlm2paXlwoWa4uLSwYEhrFI0EY79xkmiLPDi5cuXly9fXlpaiilRkiSdTrdr1y4vrxV+fr7BwcFBQUGrV6+ur6/HXp247Rar5dGjh+Xlx1JStg4PDyvdEhr/x8Z2785ZuXJlUFCQt7d3SEjIlSu1yL6HXGB5TpYlwko0NTWfOnXqWPkxs9mMehpWHfRfRToRGYbZs2fPvHkely5dUgh2aEi1YsWKNWvWOP3QoFqc79GzZZVK1d/ff+rUqbKysv7+fpVKRRCE0WhUq9WjaNFqtaOjoxqNZnR01GKx4By8d+7cycnJ6ezsHBoa6unpqayszM/PHx4eVqvVKpXq0aNHx44dq6mp6evrGxgYUKvV2H3RGeOfrYlry2uvgWcxkuMg43yH/0q/EaL7Z5/E4SJld4JSAJIS7NxIirxN5AkkVlSmBB5aKZ3WDM9/lbBOnmOO9+h2i8F3Yq948qLfrE3SZY3817mzrpq4NPC6aQA/Px1v7h5jpMhJsp0kRQG6idiX7/B/34swkhcFFiZo5QRJohhGqx+jaDjtuySiedgRF0CzH8JIi8Xa2tJ26VLt5ZraC1U11VU1Z89WnTx55vTpc2fOnKuoOHf58pWqqqpLly6ZTCY4zZcjEOtJnlTiJJ+IkESABA4cKJo06bPu7i403oXDZVGEQ1s88gYADA8Pb968+cCBA8hllJdlwDBccXHZjtQ09fAIxjA0GH6+lc/BAI8hGZlbRY6Dp0Iz2sOJ7J0XWYKfR0Y0AQEBsbFx2GNQgPPSw+X06TPLli0/c6ZCkiSDwTh//oLs7N34cDxjnyhCD0McVIYuAYd/yOcQWzsBztQKZ0HEE36gzfbpEJFnJuZeB/3Cm4NMUjAQ7ty5itTU7VrtKNYeghA84Yf9bApGwiSy6MxrYmIjIiIpipJQu4aHhx88eICdWm02KiPji7i4+OFhtdJAvBtukb2GT05MgtgDXg7lqXW0Au1jvxHoBqIdnCgFdS3HaaFOsD4xdOO1ow7wq2cGzfYLKfNGop3h+dBNhJCJskDZD4UnfAyPCmw/VcBVeLzmeV6v17e0tERGRs6d456UuEk1BG2J8MzIBIomF4HsOjqqW7066g9/+ENWVraIfjuCILa3dURERKSl7bp8+XJ9ff1ltAwODskyQO8XJIPBcPXqtazMrIkTJ82bN7+/fwCfHOlKvHv3XmZm9tmz5y5evHi24mxKyraQkNCGhka8D8OwWq2uvq5h2bLl7u7z8vbkkSSlKEoQRJblsAIfPnw0e/bc3/3u9xUVZ7HCJUk6d65y/vwFZWVl+Mdut9o+R89PKP748eN79+7NycnJzMzMy8s7deoUfluET+t8N1El7fe0o6MjKyvr0KFDZ86cOX36dG5ublFRkRktWq22vb39zJkznZ2dKpVKo9HASURRwLHLIPmE6n94H5wx0mKxWK1WjJEsz+FAkX82j31Pz88KAiMItCBQDiFFwSYKhChYHWKRBLMkGCVBL8M1FoOjYELfmp+3tkiCRRKsEjwbIYo2UbAJuPyvsRZEQpC+ORFRM/81mobuoKs+Lg38MDVgRY+d12CNbx98cqKHJ4me0rQgMNCdVcLC8RIPTZGQITFGPusK+y3/e3oJRjI8x/DQaubASJz6AuXYkWQ0W6EIYEGSRamnqzttR9qObTugpKalbt+5fduO7duhpKRsT0nZlpycnJubazKZlOArhRAeD8+fdjWEY3w8Bi0sLPz888+7u7tomtZqtXq9nqIoPIIS0UyDPT09Xl5eCQkJRqPJaiU4lrfZyPi49d7eK3u6B0xGM8fBzBwcJzAMJ0kyx3I63djYmN5oMOHxvWNCCIhVNptNrzcYDCaShK3GX3EsHK4oI2M4tJbAqVNnoqJiLl+qVVyWZRka91JStq9aFWm12gjC1tn5aMmS5Tt2pBGEjSQpimJomrWjFEJTWQYsy5EkxbI8w/A0zSBekvV6vWZEazZZOI5XIlEhqEgyx3EGg0GPFuwiiAfoPM+PjY2VlpYsWbLk9u3bJpOJpmlEEXBFkpTJZDYYTDYbhdLoAIYRaIo1mSzBwWHBwaHIWETAfEE8T5IUg/IqEQSVkZEZH5+gVmvwiwOsELPZYjZbTCYTw7DPJUmsOp6HU0GaTGakUqPNZsMIKvD2KTFJktbrjXq9Qa83sAya+xGhrChKFovVZDKPjekJK4mmJ308/QmcCNMJXLF+bDbKYDDodGMGgxHjsSwBNKUkvHEWM4G+MtAUg2dSQRhpn08S23IdTsLOLsEQVp16KTR9V1RUFBYW7tu3b7Hn0vj4DTot9NKEakEYCcsSsFpt5eUnPDwWBgeH5uTsYRgYXczz4s0bt6Kj19y4cUvpS/hYZHyWeV44e7YyP7/gxImTS5cuX7Bg0eAg9OXGjeU4YXh4pK9vQHmp0dn5KDg4bP36JNw5BwaGjhwpLykuzcjInDPHbffuXJ4XlZ2x0iRR1mp1mV9kubt7hIaGnzhxCtdEFOVjx06sWhXZ0X4fYSTSDHxn8RxYUdBUluVr165VV1fn5+fn5uaePHny9u3bFouFJEmbzUYQBMMwHMfZHAtJkiwL83W1tramp6dXVVVdR0spWsxm8/Xr1w8fPpyenp6YmLh3794ytDQ1NTEMg2/Ec2rj2vSD0YAzRprNZoyRHAcfz/DtJ3Lv+Zb/lf7rXw7ZHgVKEG2iaBUliyiZJckkSUZJMkiSQZbGkOhkSStLGiCpkQwDSQWkIbQeBpKz4B3UaKMaSCMO0cjSqCzrZEkniTpJHP1mRBqV/gHBV1cOlEelryta+xkkjSSNypLGJS4NuDTwXWhA+fUpT57vewE9OSWtLGrhw1MakyQ9ejibJMniEKsoEaJEofwrOMWOkh3tu0q08xKM5AQeYaTwLEbCEQsMzUMYKYpABp33H0RHRiWtT9yTm7dv7/59Bfv37SuEUgDXWVnZISEhmzZtMhqNL8RI57G6vYwHuCXFJVOmTOno6Lh163Y6Wk6cOKFSqWRZZhjm9u3b27ZtmzNnjq+vb27unsrK6oF+1bHyU4sXey1csHT9uuSiwtK+XjgWHx4evXKlfnBA9eD+w+zsnJycvD25+ffutWKSRA6c1IP7D8vKDqWnf1FcXNrR8QDltARq9ejp0xV37txzHvpbrbZVq1Ynb9xsMloEQRYEmeMg93Z19a5eHX340FEAQGNjc0pK6qRJU7y8fA4fPnr5Uu21azevXKmzWGA0HeYNluWvX7vZ2NjM85LJZDlfWX3/fufg4PDu3bnp6ZkHikpu37qLQQLDpyhK169fz8rKys3NhW3Iy1Or1TjDqk6nO1B0IDQ0zMPDIzk5ubCwsLu7G1u+bQRZVXVh9+683bvzDx061tXVDwDEyN6eweLiQ7Nmuc2aNWfr1m1nz1ZaLLaenr4L1TV9fdAOZrHYMr/Ijo9PGFGPYogFAAwODu0rKCwo2L9nT/6FCzUkCZPxOnOdgi5WK3nx4qX8vII9e/KzsnKOHj1GEJAkeR5ZtmVQV9eQkZGVl7d3//6i/v5B5IkK8frhw+79+4v27Svcsyf/5s07yF8U4hnmQ+ekwaIo0zRLklTNxcs5OXt27cooLCzWjxkhfougpuZyfV2jXm+oqDiXnZ2TnZ1zvrJapzNgn2F0WmzYfOwk/CRMPoGRoijabLaKiopr164JgrArLWPduo1ajJGOOExcyVOnziUlbiotPbRjR1p2dg5+kSEI8rVrN/z9A6ura3gextDamwP9b+2W4YqKczU1lwEAhfsPzJnj3t9v95jFKoUnd+JnimR27foiKCiUIEhJkru7esvLjz940KnXG2NiYndn57LsY0M69kJnWT4/v2DLlpTi4rL16xOPH4cYKUuA48SDB48EBoa03GtDGGmn4pdipCRJJpOpuLj4yJEjDMNYrdbm5ub6+vra2torV640NjY2NTXV1NRcQUt9fX1HRwfP8y0tLenp6Y2NjTdv3rx+/fqhQ4dKS0vNZnNlZeXOnTuvXLnS3Nzc0NBw4cKF3bt3V1ZW4hcizvj6g0EnV0Mfa+BZjIQerS6MfCE/s9AxVbCJkkWSDTIYk4EOAC0AowBoABgBYBgAFQBDAAwA0A9AHwA9AHQB8AiAh471Q1TudGzBXz0AAG/pdBS6AOhF5xlA5+l7jdZYM70OzeAmu9YuDbg08C1r4CF62nzLF/2nXg4/ZruA3A2kHihyL5D7gTQI3+KJKiAOA1ENxBEgGiVosUSxBhwlcJTI0QLHCBwrQH+cb1n+MYyEQ3/keAjnTkDWSBnIoKO1PSoiat/e/Tqt3kbYSBuFxUZQNoLq6LgfFRW1aVPys9ZIe2TbMzlPFE9DzFpHjx79+OOP9+3bd+rUqdjY2LAwiEk7duzAho66urqoqKhJkz5bsGBBdHRMcXHZo0fdqalpM2e6zZrpFhgYtnXr9ra2BwCAGzfuLFvqtSM1reLMucTEpE2bNgcFhQQFhdy6dQf5x0odHQ8SEjaEhoaHh69K2br90qUrRqNZlkFtbcP48Z/sSE3D9cHr27fvenouOVh2GBMOxkhRlAoLD0RGRo2OakVRunixJi4uYdKkyYsXL928eeuhg4cPFJV4e/u2tXUAAI2QkgQGB1Xh4RH5+QWSBLq7exd7Ll29OvrYsRMJCevXr0/09wtYvz5RO6pDfrYSy7LNzVc3bNgQGRkZGxv7pQF21apVGRkZ7e3tsiwPDw9nZ2V7enpOnTo1MjIyOTn54cOHgiAMDg6ePHkqKSk5LCwyNnZtaGjk1i2p/f0DsgQePexNSdk5Z7b7tGkzAwOC9+7dpx0dO326YtWq1c3N12CKHZM1OysnIWH9qEYny4Cmue7u7szM3TExsQkJ62JiYoODQyvOnLPZSGe8wcyj1xtOn67YuHFTXGz82rXroqNjgoJCjx49NjyswRzY1tYRHh4REBCUnLxp27bUhoYmmw2m8ezr69+YtCk0NHz9+sRNmzZXVJyzWCzY1vfY0ddBU6Io9/cPHjx4ZP36xNjY+KiomNTUnQ0NTQa9SeCl+LiEee7zDx8+mp2dk5iYFBIS5ubmcezYSehbrUwEAlEJ+7I6Z2bC5acxEr/hwK8w0namJyVuHh7W4i7hOCHo7x8MDgovLTnEsnxKyvbMzN1YITwv3bhxy23uvM2bt54/f6Gi4tztW3eh3yk28yMHY6WPFRTsnz1r7rBqREF0THeKnkVRVqlGEhI2bNy4Cc6FwUscK2CIVanUcbFrsRXUzp/QaRZmwbh7t8XfP6CpqXl4eCQyMur06QocU8rzQmnpoc8/n3L4cPlLMfLxuF6WWZatr69PTU3Nzc1taGi4devWhQsXTpw4cerUqdOnT+/du3fjxo0lJSXH0XLixImmpiaapjUaTU1NzZkzZw4dOnTkyJHy8vI7d+4QBFFRUXHy5EmGYVQq1fDwsCzL9fX1NTU12AHBhZHOmv8Bll0Y+Q8MFKA1kockSQqCVRQtomgWRZMkGiXRIIl6h+VwRBLVsl1U85PQJgAAIABJREFUsjgoi/1I+mSxVxZ7AJRutFbKXUDE8ggIj1C5B0j9Mhh6faVfBj2y1AXEh1AEtMZl19qlAZcGvj0NPALi6yRd8NEq9AK+F3BozfcDrh+wg4AZBMwQYIYBMyIzYzJrljirxNlElkRCiywjst9zjASg9V5LcGBI8YFSnofDYWWYiws9Pb2rV69OTNxgNBqdU8t8VcJN54A1PKT+cjz6zjvvREdHq9VqPE9GVlbWtGnTOjogjMmyPDAwEBISkpGRwTAsNvvIMti6JTU4KFylsufABABcv3576pTpCxd6PnqIwyzBwMDgsmVeISFhZrOFZfkjR8pDQsJ7evoAADYbpRnRjoyMyjLo7Hy0LmHDqZNnlJhAjuXS0tI3bEgaQj6HkgitSYIgq9WatWvX5eTsQXFo0JdSp9UvWrR4d3YubsuX857Mc59//nw1Mn7aAACXL9cu9lyKTZ3Xr9/y8vKZP39hXV0D8h2VmpquBgWFlhTDcDVZAvfvd3p7+xQUFAiCgCfk1Ol04eHhGzdu1Gq1OE9mWVmZv7//yMgItv3yPH/s2LGwsPC7d1sYBlap61FvZETMjh0ZAsyTBDhOSkjYEBQUYjZZUISecPLE6cjIqLo6mGLHbLJmZmavW7cB80xra/u2bakFBftJG7RAcpxQXFzq5eV9/fpN7CmKbzr6ij958vSihYvxeSgShtc2N19bscKnoGA/RTI8L4SGhEdHrzGbLPhUHR0PhoaGAQC7d+fO91ioGRkVBOiTOTQ0PDAwBHEdyVMdjOf5o0eOzZ49t6LiHL776JXBLaPBzLL8l8D2/vsfZmXtNhig66leb/Tx9gsJCbNYrI4TwtG4iBL8OmDSOTzyCYyUZRlPtyjLss1mS9uZvjFpizNGCgIYHBjelrJz+7Y0i4Uwm6w7d+7KzsoR0E9D4KWenr4NG5LWJWyIi1sbEbE6KCjk+LGTWq1O6Vr4FwQA2L+/yN3dQz0MO7Di1YyjSbHN1mSy7NtXuHz5isuXYU5dDLEiNIxLarUmLnZtbm4ew3AKRjIM195+f238urKyQ8ittD0xcePpUxWKYbalpd3H2y8jI1M5G1LRc2gF/+7wFyaTqaKiIiUlJSsrKz09/fDhwyzL4hQ7AID29vb9+/fr9fqxsTHsgC1JktlsfuhY+vr6BgcHu7q6ent7VSrVqVOnzp49azKZjh8/Xl5ejjGysrISBe5ChH9ObVybfjAacGHkP4CRHPJ8kBhapklAEYCyyjQh04SERGQIgSE4lmBZguHsQnMExREUD4XkCZtDCKcCwRMET1jtYsUFgrfZJIGUZFKSvp6IpPSvII9bQaEW2SSJkBgrT1gEwiJYLTzhEpcGXBr49jQgoF+coDx5Xp8CwVsJ3kLwZigCFhMhGAnBZBOMpGCkRDMpmM2AsADaIlKkxNICFEb4/mNky72WwK/ASABAb2+fgpHKaAeOBp43ZlfG79DmiQP4ACgpKZkwYcL169fxGEKW5Zs3b3p5eR09Ch1HAQA9PT1hYWHp6ekURWNvSUkEW7akBgaEqtV2S5EsgdraRk/PJbt3Q6LDY2sAwPHjJ1es8GluvsZxwp7c/ODg0JqaSxqNBgVSshhjOE4wmSwUxeCEMQAAtVrj7uaRm5uHK4BrKgjSsWMnIiOjmpuvsQwPsUqC3LJgwaK8PXtx5fV6Y0TE6rw9ewkCMqTVShQVFW/dus1oNCPKuh4RsTonZ4/DB1LieTEiIiokJBz6oNLc3r37o6Kie3t7nTXZ1NS0ePHi8+fPAwBDAQ8ePOjn56fRaHiel2XZYDCsXbt2x46dN27crKurr66+2NjYHLsmYckSLxvBSNCbUV4bvz4oKMRqhVUCAJw+VREZ8RgjMzIyEzds7O8fBADk7N6zcmVQYyP0Wrxy5Uptbd2xYye8vLzz8go4DvpPKopVDanXrduwbdsOGDwpAcGR7LagYL+Xl/fggIqmmWXLvMLDI5qbr+r1BmTqZKxWQpLkzMzsqVOm19bWaTSjoihxnMCxEID1eph+5tq1681owelndDp9cFDo3r37KApeCNeBpiGmCoIUF7d28eKlGg3sBpBBJFBUWOzvF3DvXitSF93a2maz2VAyXuzXqvTB51gjX4KREjCbyby8fVs2b7929SYAwGgwZ2Rk5ubkMTSaeVWCobMWi1U/ZtBqdSqVeteuL2bMmFVYeAD3W6x/rMP9+4vmzHEbQGlg7TZY5PuK8wa1t93ft6/Q3z9g65ZtRgNMx4pT0aLc0KJarYldE5+dnaNgJMoINZqWlp6e/gXWW2tr+5YtKUePHkMvLOANYll+TKfX6cawDp0Mv0p3e06hpaWlubl5z549lZWVd+7cOXXqlFqtPn36NM5Pe/fu3aKiIo1GU11dXVlZabPBPtbT01NWVoanANmzZ09ubm5+fn55eXlVVdXRo0fPnDnDcVxFRcWhQxB3a2trq6qqOI5T7MDPqYRr0w9DA/gpilwzBBwb6XJq/SqwdGRnhcE0gKYBaaHvXqPqq9i682z9efu6HpXrz3NOwjacZxvOc68gfP15u9TBAtdwnq2vZG/WsrebmduN7O2mv18aWXhgA3u73kme+ljH3q59mdQ5He58qr+r3IAqY28FA5vTyN1u4m9c4eoq+YYqvqGKQw1/rAdFIa6CSwMuDfwzNNBQBX9ueP3POP+3fk747HV62LINlWzDOaaxkmk8TzdVUo2VVPN5sukc3VRJXq0auVU9bHhglkwmkbBJkB5hZlc8P9P3yKkVDlcgAjqcWgG4d/cexMiSMsER8KbYi5wwMtFkMilDHTgaeGWMLCoqmjRpUleX3YQoSTA4MDQ09ODBg3jY3d3dHRoaumvXLpKksEVUEkFycsrKlSGPLUUSuHDhUlRUTH19IzJp4ENh+GJISHh5+Qk0YK1fvnzF5MlT8/ML7t9/MDSk4lhozLGLA1E4lquuvujvF9DUeBUTKXZKtFpta9bEbd++E7KQCI2HkgjGxgweHgswuzIMJwjSiROn1q9LvHnzNgDg5o3bGzYkXbx4CWPS7dv3IiKiSksPKjAmyyAqKmblyiAIUWPGhIQNeXn5SoYhrE+tVrtw4cLCwkJkRLUdPHjQ19d3ZGQEW26Hhob8/Pw8PRdHREStXBm0cMGSkOBVHh6LVq9eY7VQogAEQYpdszYwMPgFGLl+fdLQILQT7isonOc+398/wNfX39fX3893pbe374oVvuXlJ5SkrFizX7prrlkTX11dg7Okcpw910t11UU3N4/W1nZ4tn1F8+YtWLbMq6iouKenV683oEy2ckNDk4fHQg+PhdnZOS0t7RqNhka5gm/duhMcHBoSHObvH7ByZSB2v3z0sHvp0uU3btzieQHPzOJ8v6Kj16xcGcgiChXQnB+HDh2NjIiqvQLn2NBqx5KTNw0MDKDO6JxZRym/3Bqp0ehxk3leOHOmcsmSFZcv1Xe0329ra79z5x7yy91y48Yti8WCkyc5Xo/Ag4xGk4+Pn5/fSpblkakNbsR3f9++wtmz5mJ6x0QniRD2oImvrSMkOGye+/xDB4+MqEcxMOPW4WxPIyOja9bEZ2Rk2tkephqi8/IKfH39W1vbO9By+XJtZGRURkZme3sHyvAEU0srN/Fxt4f9/0VLcXHxnTt3ampqTp48aTabtVptX1/f1q1b9+3bh+eHLCwsHBkZqaury8jIaGtrwzP0DAwMPEJLXl7e7t27m5qasEHyxIkTx48fpyiqoqKivBy619bV1VVWVuKpPlzWyBfdiR/Ady6M/CpofHa7IwEDjNoHNgsgxlRRK/tmjdPPGmecNc448yO4RmKeOc6CxDpjnHXGOAsS64xxxIxxNrQm0HbrzHGKWFCZcHyLCxZ4zo+Mcz82uE/Qu33yD8nHereP9W7j9W7jnOTJj+4f6d0/fJl85HS486n+rvJ4VJknGmJ2+8Q652PL9A9xk63TP3pKCa6PLg24NPDP1oB1xvf4d4cfs4/X6NlrmjnONHM8lFnjDLM+0s8ep5v98ejsjzWzP1HPgaKf9YlqxvjTK6bevXaYkLQmyUpIMPM+TLfzrQMkvuI/Ehsp4vEvNF48gZF379wNCAg+UFwqCPa8KcoY1AkjN3zjGImNFSirTVdoaGh6ejrGSOj4J4DNm7cHBoYOD4/iIb4sg6qqi7Gxa+vrGxWkgT6ll2pXrgwsP3ocAGAwmBobm7du2ebvH+Dj7ZeaulOlUittsU8/KEo6rT4iYnVmZjaedx77RgIAWlrafLz9jh87iUmA50VJBDqdfv78hVmZcMIPnPpVrdYEBYUUF8O5BA8ePBweHqEaglcBALS13Q8Pj3gWIwMCIEaO6QwJCesVjFSMM0NDQx4eHjk5OdgaWVZW5ufnp2BkV1dXSEhIauqOysrztbX1tbUNly/VVVVdvHOnleOgvfRLz9XIyOjg4FAl8c/p009bIxMSNvT2wKw8OTl7/i977wEexZGnjWv3bndv777n+26DE/h2v+98+7/13gbbe8vubfCuDcphJBGNDcaIJJIECEyyMVGa6R4lsm3AgAkmKgM2wRghQCShMHlGEhLKYRRmejrWf6tqptWaGUUkIaHW8z6lmu7q6upfp3r7l96d+d7Bg4fPQ63mtcuXr2RlZV+48FVVVQ38uCDRRt6+fTcublVW1jlIIxlelPnpU2f9/AKwMtBoNF+5clWlUoeFha9+f+2RI8caGqBWtqGhMTc375NP9oUrImfNitq+fafBAC2Ny8sepqVlnDmTdurUmbNn0nAnGo1u+ltvX7gA8x9inSceBj5fK1asjIpy0kisrzty5NiSJTFfX4FJMmw2KjMzq76+Hl7Q0K7VE15oJFbztra2qpTkhg8319fDMSPdsm3BgsV/+fMb0QuWxCxdsXTp8vnzo0NCwoKDQ995Z+a9ewWQ6HIouaVEVtu2JcydO9/hQOpr1zcLbNQaEuKkkU6FIcO3tdquX8+bMePdGTPevXTxclubDX+7wa6zKFAwR9NsZWVVXNz7KSnbUWoc+DnjYXnlxIlT/P2Dli9fuXx53PLlcbNnzwkJDgsLC4+JWWYxl0EHbVcyWPGad1W8EBTM6HieT09Pr6mpycvL+/TTT3FaDq1W+/nnn2Ob87t37+7cubO2tpZhmL17954+fRobYzc2Nt69e9fhcGSjv8rKyrq6Orvdfu3atYsXLxYVFSUmJh46dKi+vv7SpUt5eXl2u11OGunlNIyyRTKN7P2MgUIpHymWBQ4HaK4FNcaHb75S9uN/aHnxu+1jv9M+9jttqLSN+Q71wnccL3yHft4J5rnvYLDPf4d9/juMazn9wncwHC/ATfBWDrQt/mkf8x3bGGfPbaj/fpX/2DbWE//QNraX+LarpWcnvVyCd/SPXgffPhYeo/15pwTwgculLAFZAkMqgafrBrSP+a5tzPdEtI35btvY77WO/aeWMd9vGfN965jvt4z9F+r5f2ke87/TX31Of2UfAC1WobUFGupxNMP1/qUwsC37RiPb7TD1BYv8tyBXgHneeZg7EeVmuHv77ry5Cw64fCNdLmfQoWtAaOSBAwfGjx8v1UbevHlTqo00Go1YG2mz2WEmCR7SyM2b4hcsWPToEQxOA3kdD86d+3LJkpiszByGcYavFARw+NCR+fMX5l2/yfO8w0ELPHj4sPLgZ4feffe9yZOmfvXVJaRM49rbbSjZI09R9L27BeHhkefPfyVGDeU5wDDM7t0fr12zvqioBHNCmmadNDJyclJSCnb/gyExHWxc3KqU5O0PHz5MSdmelJRC2WE2PwCg6+PChYsPHfpcVFhhbeT8+dFQ09hqU6uTN23aXFtbi/JMstju12AwzJs37+RJyIQpijp8+PCsWbOqqqqwb2RpqeX9998/d+68zQa9E/EfRTlsNshAkH4MLF4cs2C+hEa6G7UmrVmzVoscSklSvXz5ivLycqxYw6k7cWp4noP5KpBdMUyvotMZVq9es2/ffjQM6LCHMx8ePXp81ruzTCYzh/4AgB6qW7duW7Xq/Vmz3svLu8EwDMdBaTQ3W3fs2Bkbu2z69HfS0pzpDUUugWkMMjB+NPu9KJylE+uZkYcntIH8O7VbtmxFVNRchwPalKIxCEeOHI2OXnjz5i2Bh9ksULZGGCYV0UjRolWsdKKRKEEoi8fQ2tqqVBIbNmyqrobaSBx/6NSpsx9/vE9NJieqk7en7ty8eeu0adPfeuvtDRs26rR6nucZhkUGzwJmuX9PFrp+/YfvvDPT7RMMppHBQaE4Xi6aPQOW5e7cuacIi4iJgQGQsAUv1ntDs2GUQ4VhOJrmKioeYd9InPCD50F9XcOhQ58fOHAwOTl1x46dO3bsXLt2/cSJk2fNei8pKfnRoyrkPwW9qPCxdEMgMXPB8uc4rqamhuO4q1ev7tq1C3n8tu7fvz8rK6u9HUZLKigoSE5ObmhoAAAcP358165dFgv8HpGfn5+YmGi1WnNzc5VK5aFDh06cOFFQUFBTU3Pv3j2soszMzDxz5syFCxdqamooisJiR8MbZeRJPlyXBGQa2ft5AKaRdkgjKdD0CDwsbB/305bv+oAf+4Afucof+oAf+oAfIPyrD+geuJnXEvcjlj9CuxB/9qmCt32yZVcDfpzj6qpPebksAVkCo1kC3TxR8aoffgv88NvgX78Nnvv+3V8+U37+Y45ra+JbrVBlwCIMdYxW/BrqM40UEI3kkTEqDEnCoRk7opH37tyLXrDo4MHD0IIOesHxLkDKaTZbli1btn79OjdtJLaNdcZ9RXay0jpc6+JSBw8eDAgI0Gq1mAJh38jo6OhDhw7BHUDTxJqYmJj169dTlINFtoEMzSUn71i4cLFeb4KBKJHy5/r1G6Ghig8+2IAc8ADHcSaTefGipR9t2ERRjvZ2e3Gxpr3Njuwq+QcPiuYjh09BAFVVNSdPni4qKmEYtra2fueO3XFxqx49qsYDxBPuiopHs2fPOXLkGPw+gLLtwZyarFBbWx8RPhHTSKwN43mQmZmdnJSqUpEJ8SqczYJ2wOn7gwfFCxcuPnz4CDZixBP62JjlMTHLke4RXL2a+/bb76SlpVEUhbU6Vqt1y5YtSqWyqqqKoiie59PS0qZNm2YwGFAwWAfLslu3bg0Pj7h3rwAROSgxnc54714By/JIAQVWrFgVvWCRV6PWpkZrYiKkkWYz1AdeuPDl9OnTSZJsanJm42xqar5//35dXR3HcaWlZSdOnNTr4a7b29s/+eSTmTNn6nR6lmUpCpJYrVYbGxt75swZiqLq6+sfPXrU3g6d5Xief/DgQURExNmzZ9va2srKylpaWgSBZ1m2oaFhyZIlycnJmLdQFIUDNSHNHqR/NpstJSVl4cKFRqMJU1OGYYxGo80Gv30sWbJk3rz5eO+4h8OHD0dHR9+5cweeoI68iNKrT1qHE1is+BVLPKe12WyEivjww48qKqoE2JWT2KLAp+iCFkBTk5Ug1Dt37rbbYbJEmmZLS8u1Wj0MzwxDazE3b+RPnz5j8+at+NOGi7zBK/3TT/dLaSQSqW3nzj0zZsxiWRhzlXawiDSyNA313uLVyHFCeXnF+++v2blztzPqFUyUgpm889DQNaBbu3YtdjBGHptWnU6H6b04DNfsvcv/+JZkGCYrK+vjjz/mOE6v1ycnJxcVFUF3TY4rKiras2dPY2Mjz/NGo3H//v2XL18GAHz99dcEQZSVlV2+fFmlUqWlpR0/fvz06dPXrl27fPny8ePHCwsLdTrdqVOnMjMz9Xo9DrHT5TjkFaNDAjKN7AuNZCmWsUEaaQeNleBRMT3uJy3fcxG8H/WFQHZPLz3X4tmP5/LeLPE6qRrihV2Nc4iHIe9OloAsga4k0NVNOhKX/x8f4AavR/EDn8KXnzGf+YRhGhvZdisHHSN7/0YY8Jb9p5FYTQPTJaCpMgDg7p270dFOGonTxLtoJFRAWSyly5cvX7fOC43sfubjnJUDcOjQodDQ0OJimBUd/929e3fBggWHDh3CVJOm6eTk5JkzZ6anZ+Tm5tlsDopicnPzli+P27Rpy5dfXqyoeCQIID//TmBg8KKFS76+8k1O9vnMzOyNGzdv2LDxm6u5PA+T3V84/1VOzvmsrJyMjKxdu/Zs2rQVp4nPy7vp7x/4d9UTDgEaFTX3+PETWH+ImR7toL+8cHHmzFk3b+RjV0CcSZJFNDIsLBxHv8TeawBAdqEmk3Cf9fUwgij2rrx//4FII102tMLSJbHLl8XBBBW8YLW27N378erVq0+cOJGRkXHhwoUvvvgiLi7um2+giWZzM7Su1Gg0M2fOTElJuXjxIubeeXl5c+fOUypV589dyMzMuXLl6+zsc7nXnI6df2ebq1evW7x4aXNzCxavNMROU6NVrVavWbOmshL6RjY2Nu7b9+mCBfOPHDl87ty5ixcvnjt3/uuvv66trWVZ9vz582+88bdjx45ilZHBoP/ggw9SUlLS09NOnz711VdfqdXkxo0bq6urEecsvXbtm9OnT1+4cD4nJwdnnC8qKqJpR25u7pkzp7/66sv0jPRdu3Zt3rz5m2++QTk8BezwyXFQJYj0nFBvaTablixZsmHDh1lZWZmZmTk5OVevfm21QmnExsYuXLgQ00isOz106ODChQvv3IFZXvBf99ehdC2+JjGxbG9vVyYoP/zww8rKRzwkaRyPPx+48tgIAgywpFSSO3fubm+nUG5Gtqio5NSpM1mZ8BpDiVVi1q/7sLQUhi+SkDc4ro8//jQ0RCFqIwUBlFrKly2L++CDDTnZ5zMyshCycZ7J+jp4FTn1k7xgNpeuXr12587dLS1tkN9CS1rMgp2DAwCUlJSsXbsW+x+yLNvS0nLz5s1PPvnk8uVL0kP2WhflgPXGPM+fPHny888/r6urO3bsWHp6emtrKzZwLSgo+PTTT2tqaliWpWn65MmTGRkZVqv1+PHje/bsSUtLS0lJOXv2LD4RRUVFp06dwtawznMDwO3bt+/evYtpJL6uvA5JXjgaJCDTyN5PBSgW0sh2jhFoTCNLwPhfgmd9wDMubSRWS/6gJyWk1wnNaF7Y1bxWXi5LQJbAkEngaXoEuXFI/PNfkZHID9Hj+keo/iOf+y8/bz57lGPtjSxt5RiKeQLpIsV30MDQSBw15c6du9jZz80wD9t2ms2W2NjY/tFIzBL/rr7YsGEDtoXD6keTyZScnHzxIszSjrnB36eeGzZsmDFjZkKCymqFCi6bzf7FFyenTJkWE7Psdv5dFKvj6rx5C44eOZ6RkTVr1uy/Oxxu2LCxpERrtzuw0qaqqiZ+m3LB/IWzZ8/98IOPsOsd0qHpN23a8sUXJzmOP37sxKKFS0wmaJiH/wQBlJU+3PDhxt279zY3t7jRyL+r+DZs2Hjy5Gm8HNNFGBV2156wsPDjx09ANRS0woVBRA0G0/btO7/66hLM6MBCXRnHCbt27dm1cw9s48pQ//nnny9atGjp0qULFizYtGlTSQnMiukaDCRaf3cqW4T+cnMhQ0ZEy7xt27aoqDmzZs1evXpdbm6eMxYRMjze9+mB3bv2trfZMJPJvZa3e/fewgeQt7e12k6ePLlv3yctLU1oF1CZmZmZvnTp4iVLYILN3bt3NzY2YCPb27dvf/DBB1999SWe7dE0XVdXt3379qioqEWLFi5evGjvXhgfiGVZh8NB03RhYeH69evnz5+/cGH0li1bHj58iI+iuro6Pj5+6dKl0dHRMTExOEgv7hOzR5x1A1vtYlJXUlISFxcXHb1gwYL5y5cvLy8vx3rLgwcPbt++naIoPMlmWfbSpUs7d+7U6XR4Sf+YCc/zbW1tx48fx/57YieuHKhQFScIwGptPXnydGZmNkUxOCEHSjxza9GiJRipqTsaG6FgpRwSf0HIzMzetHFLbQ2ymEXhnWpqaglCHROzLGbpssWLly5cuDg6etGCBQvXrFmn0xpw+kcx8cynn+xPT8+sq2tEPrqdFKqY+5WXlx88ePDq1av4nsKS37179/r163okJJhGYhNffF5Onjx55MgRvV5/5MgRk8lks9l0Ol1RUVF2dvbevXurq50uyjdu3MjPz7979+6BAwd0Ot3169dTU1NPnDhRXFxcUlKi1WqNRqNery8uLtZqtRqNpqSkxGAwmEymxsZGPM4exyY3eIolINNI8RXeY4ViWTvLtHEMx9ihUWu1jvP9Df+8D3jOB5LJZ12VH0vUkl1NAftkctZVJ0/N8j5JQ24sS0CWgCwBqQQ8n4ReKfEPEIGUPqif87nxX2N1Z0/QNNPIclaWe3po5O3bd+bPj96370CLtbWpqamhobGxEZYYhYVFyOJ0HZ4I4imOOO3ufsaDKVB7ezt2jsJbIeNAurq62mqF+QZxDwzDVFdXP3hQaDaXwnkzMmS1Wlv1eoPRaMJJDi9evBIVNTcjI8tudxQWFmk02qqqGujBiAxx8TS6tLTcYDAaDMbqqhqRFbMsV1tb195mKynRxsau2Llzj5ifEADoFXn8+IngoNDc3Dw0y4GBXpC3JI/jalZV1TQ0NElpJMtyu3ftXbFiJaajSHkLbQ5tNqqutsFqbRVgZgi4uSDAwD91dQ1O5SRaYrVaLRaLAf1VVlbikWM5cBzHMExbW5vRaNRoNFarVfQoq66uKoR/xeXlFa2tbRwHCSG2hKyva2ho6CAzba22xsYmHDxWEEBzcxMiipDpolA0HMvSRpNer9dqNCXV1dAJE6ue7HZ7fX09dorDykOYObO2VqfTaTQag8FgtVox68OjstvtOGegxWKprXV6seJDqKio0Ov1ZrO5srISm+9yHIdVkSzLMugPU0pMigRBqKysNBqNWCx25M1L03RjY2NDQwNN01g+OExoY2OjuKT7K7Crtfi8NzU1NTc3sSw0SMZ/LhqJNIAwySTXYm1ra7XBSwJ9COB53m53GAxGo9FkNJpx3hd3GslBVtk6awU7AAAgAElEQVTS0lpTU4uV3vjrA7LfrjUazRZLqdlcqtcb9HqDVqs3m0vtdoploRE1DuFDUfTfA0E1NVpdLqmiKhIammL67XA4rFZre3u7mM2V5/m6ujqz2dzVUUuXYyaJ5cBx3JUrV9LS0hoaGurq6miarqqqOnDgQGpq6meffXbhwgV8BnEIKKvV+uDBg2vXrgmCYLPZKisrL1269Mknn+zbt+/jjz8+cODAZ599tnfv3v3o75NPPjl48ODhw4cfPHggnmjxrpeOR66PBgnINLJH9ig2oFjWxjIt0B3bDqxVoEZP+b3CvOADXvABzyPgisgqMbfEs5bnEMlEpfCcj/CcD/98l+Be8BHBP+8jPIscL59Bas/+leJIhlUFHQv/jA/3HDxe9nkIeODPy5AlIEvgSUhA8uQRH0HDvdL5QSrgx6/0OYndDbDL+jOuZ/Xz6HH6gs+1X72oOXvSMXJpJIx84srSgY1akaGlcO9+wfz5C7ds2Xb2bPrRo8cPHvz888+PHj50BGPfvv2LFi3avHlzczPMbofnOr2cCOJmeJor1ZmgcCnOADOiYgQ34DmotXNZ1ToDmeBYOBcuXIyKmpuWlsFxSAeHYq6IHmWYBkiVQlibipfgtfv2HZg+fUZxkcZJGtC/pibrls3bVq1cXV1di5N8YBrJIh6IdUSQEKL8H5gP1Nc3rFv7gUpF4ogmDMNBI1gYzhTSK6y2gk6e0GATMgr8hz0b0Xg6zRhda1GUGEStRFl5FR0K+ymIQU2x4yjs1pXRxCkE6FAHeSbujWUdLOsQBI6BJU7XwuKwNFgrJboOOimLy1kQj1U89dJmmFKKJT4QHAdVbI/JA/52INJITCDxfjFfdbsM8IGLl5nYG+5BXN5Jjr34Ic5icQUP1Xl60BcN19FhE1IoZHg2UdpM8cqEIoWUEg8KZbN0BWjtuOScV6jkpKCzA0eONvcssR01DHCF9ohV2fh7CtoXVJBiiWHaL7JH7FCKRdoLGcAmohwwLWcYpqamprS0FH8doGm6tbW1uLj43r17FoulsREZ3LquY56H7qzt7e34IxGOymMwGHQ63b179/Ly8goLC7EqEpf379+/desWNoQWz2Mvxyk3e8okIF54LCvnjezBK8bOsjaOsfKMw0kjdZTfK+yYzjRyjA81xof/9bPg9Z/xf/kZ+PNL7vjLS8JfXuL/8hL/+kvc6y+xr7/EuCDW6b++5PjrSxQq2ddf4v/0Evifl8AfHwN/egn86d+94f+BP/UeXnvoZuFLoMv9oq3++O/gj//O/fEl5i//4fjrf1AI8NhfH/74D8frnhj+w5ZH2I0EPE+o25Jutn1KVtF/fWkkgkEPUhaV/OuuByx8zP4H+Mt/gP/5Gfjdz8BvXwJj/hk8+y1oPIKBKGXur8Zqz37BsHQjy1g5diRpI20UJQDAcCxM0M7zUnCCUFVds22bMi5u1fLlcUuXxi5etHTxYoyYJUtiYmOXrV+/HqcUF6fvYqXHWQ4O1OE5fRSX4Mmo6yecQ0M3QtdMWky4BwC4dOnKsmUrMjKyRV0ipmoig0Kj6mRe6CRUiGLBNI+3bn954SJOQiiuslpb867f0GkNOMMHJoFiibVDKJRLR89XrlyFORVzLmAG4pzxw3CvTh0e3lwkFS6i6CQsLq4C/+M5PWZieLlUpKJKUKQ6+BjF8bhUZJDqYKHBCgaHlkBJwrgsDAPTnHI8w3K06xJgeJ5BdemIoL4L/3Va2vkHVoi58U88cpHe4C08W4ocEjeQtseNxX5wRbpnHAZWKi68Viq07usi+eF5nqad8WCxeKU7QnXnFwHxYpAKFn87wAxTvJbEiqh+xFpo/A0CXw8dvYknyFsFd8WyzlSQ+FIRRyhKxu1gXfeR22IvP3FLjuPELKYMg1NfCphM9thVjw3EvYo94+tZXC5XRpsEZBopKht7rHSikc2PQK3O7vcbZqyLRj4Hv3NzY31K/+8/0jEzwIkD/LFPwee7vODILoAgHNnFH/UC7ugu1gX+6C5wdDc4sttZHkH1XpV7wBERu8CRneDIDoTt4Oh2cDQVIQUc7SVS0VZ4216UcF/4MHeiXXdZCkd38cf2sEd3s8f2sMf2cEd3D1Mc2812AA7VA9IGcn3EScDzhLotGXFH1PcBux474vNnRFQ49BTlju7CFfxcZY/t4uCTcw/47FPw8T6wYyf96i/5F77b4YCAaOR1SCOPM6xj5NHIdrud90YjMeuhGfZ2/t1z5748d+58Ts65rKycnOzzIrKysq9fvy5qJPo07+n9RNPVbQdVc4UbgWkS8KRcpzOcPn22sLAYp9oTp+ZQO4fMCMVJvGcFa5Ckm3i26f0SSEe/vIiD64hbidRRXCJWpCQQ113H6/zvlY+JDNNtc6SNdArKSR0xD3HpS92JCiQfTsbIcjBRjeundxqJuYpI/0Tq0suK54ZuvNGtH8/2bg1689NNnj3+xN9B8K5F8XqwUw8a2YWcxRPdVaXH6xNvKJ44b/30eEyP1UBklWIv3dy83awSN3er4I8Fbgvln6NNAj3SSAfLyKCRENxpZE1nGvkspJHt/+Zz/Wf/u+HzT9t4wcqydspGSWCnbHZHJ9hoWzdop20QDNXO9gOOdpZGcKDN7e2sTYL2dratL2iXbCvtp5s6HrO9ne0esJmNtttoCsGO6sOxbKft7YwdljQlRZvzJ14llyNUAp3OqfT8uuoj9Lj6NGz0wMGPnZFZttG2VtrWzNgaWZuVgQ9bro0GDSx42FbtG0qN/T8wP9MzSCH5dNBI2kMbSXNQ88ewHHTNQmnrUMAbaEoqAluQ4hn24CsTOmgkpo48BxwOGN0E2cFyFOXAzpBoOtLR2Nu0231tNzSvN5tL2zAMS1E0Tg0vXd5NXeQquOI2fZQyJekqt61c23bQZg7aALu0jl1WsD0kJo2eJbQuHul/UqH1po5pJKZDLqnC7TrLoQsa6SHnbs77wK3qzWH1p00/OGF/diNvI0tAYk3tadRKc6xMILEEpDSyhWdo1g6QNtIm1UYiGmn9ic+F/+9fNV98XgqAHoBaAOoBqHOhFi3BZQ0A1QA8AqDSAxUAiHgIQPkAQCgHQjngO4MrB72H27a9+Yl32sP4H6KDrUSi8CoNT/kM8ZJHrtMknpQKAB66UA5AGTpBeIm0jWdd3EquDAcJSE+Q1/HgW6/Mda69tnmaFg7Eo6aH+31Qd1EGgAUAAwAPALgDgAaAGgBYBoAWeA+b/ae1vfjjTjTyOZ/cX46RaiN7tEkZ1AZ9iNRaXVdroygeAE8aia1bORjPhoexRqHxJ/Kbk5Zobo0De2Brt8GcDnlwPxQ+x+WW5c6qBm6O7r7f3vfsIiE99OA+dFdsISxMKXuRitdzK7fd9Y5GCsitDn4x8IZRRyNdMnRK2u2nRP49nNPeXyQD0VIyLrkqS2BkSsBTG0mjPxj3eaTQSIZ2DDyQywF2PHCVdoZpZ2iYW0xCI2nRqBXRyJaf+Hz1s38xHt9XjahFi8C18myLwFkRmgWu2VlnmwWuSeAaBa5B4OoFrk4E4GolqAHc44GtAWwNYGoAXQMcCFQNsPcdlGtz3ElvShrtFw+gy7IWsHWArRfYeiSHYVoCyTlCZ6QasHDkcNhsPe8cf8dJFM+mXBl+EhCvMbfzhS5CfCqdZZ3A1AIWnmvXUYjbDreK27H042etwNWMTIgjrwZcBeAsgCsB3APAGQB8wAIHB5oY8NBeO0FBjf1XqIoUtZHP+eT+10ijkTTL2BxUXUNDm80G42eyDAyxg5zhcPo56IQIGQxMmod0awLKUNe5hJnZ4R8O7DGougvkxNcRg8RpiYqDx4gxS1w/cZAS0VrVM2aJdInYTKyIa0W9q7ikVxUcVaWLcCnSHtz2KGXoYh2HaxF/eq3geWMH4eR4rmuwHM9yPINK1nnu4H8IuEYCfHZHftkhmT7WxAl5H7cb0ubiIIeygo+wN3uUPhbEuljpTQ9PpM2QnkJ5Zzz0u8ZXBU3TLS0tra2tHTSSYWiGHv5w0PRAw+GgvcDO0G20Q0oj2/1/4xBpJPKNbP+Jz9c/+3b50e3NSAPJ8HaWa2d4G83bHDzl4O0OWLE5+HYHb6N4m0OAPynBZusa7YJNRBuw9RHtbaC1DbS2g5Z2WOKKtR14gU2wYkjXtgErQgvupy8l3qStDXSHdtBqF1rtQls3EnjyqwA8QXZ0jtqFditobwJtbUIrzVlh0CW6mWVaaQ6eUBuCnbd5BYVOutcSXhWcjMGXQOdTgE4TZecpB2ejuTaaa6E5K821OPhWmm+muUaKb7LzLRTf7uAoB0f3Fw4H1xu4909xtAQOiqO6AhoeJSntDq5voDi7fYSgKyHYeaqVp5oEqkagHglUNaBbBRpQNlBfD8qM1Bvj+DHf7aCRP4amrdd+8YLmzDHRN3JQlY09dt6dNhKaxDA0DgFEMXSrrb2ltdVmszkcDhbGakUaR485TY/TODFYjsemA7igkz0tJnjYFRBHZMUBZkTi96QqOHIsjoPa9zFAJt9XiCJmWc4FlmOcwM6H0pJhWYbjaJaFFekK5GnaiX6OfAL5mEcgytajn+6IejccfjBWiYOUKwMogc53hvxr0CWAM/3YbLZW9Nfe3k7TNMMwsMSEctiXA0p14ZEj7SPFMO5wsIzNK40cg4LIIxpJ/dQn7+ffKj+aWo/sVxnewfEUI1C0QDkEmhIclEBRgp0S7A4IuIrjKRY1oLsoHXBbJyhA2fsGux3YKGBzdA1xLS3YGMFGC50aU8BmH0zAvcOdQmkMT1CAogAcG4NAQzLZbhPaGL4VMFZgb4akkmoDjJ3lKJqHYDgvYDmK6wQ7x3WA5+zCEIESuNEJKGFeInOYJhCeLJrhaB7KpB3ZCjTynJXjWwHXANgqQNcIdANgbYCleaje6R8YjusNOnUOn/54vugsGZaluwLH0DwCx9AIDo55asHDc+EFHAtDjTh4muJpOw9PWwPggKMVNJnBwzzwxv8FY1xpk55DWZSe8/nm5ec1Z47RDIVD7PTI9Aa1QZc0EtvbUBIaCZlkW1srYpKYTOJ3+XAtWYbpE7g+tu9T54PRmKHhd/c+A5+vjlmWw0FTLjjc/yiHg0JfzXEpboVnbOJPuTJSJDBc71Z5XLIE+iABh8PR3NxcU1PT0NDQ1tZms9nEJEA4I6r4kWz4Vjy+Nj32AhbN+Wi3mR/DsRTHtvKs6Bvp1EbinB+IRjL/z+fWr/5X4b5P7jQJtxuFskb2YRNb1sRamhlzM2NqZgzNjL6Z1jfThmba1ExbmugyhNImuitYmmizC6Zm2th3mJo7ehC7cqtY0ADKUPn4e+z9IE1YDs2MZbgCnzhzM1PazFQ0M48aqNqa1qZqa01tW0U9VVlDVVdRVTX0o3rmYSNT3siWN7IPu0BFI1vRyLhAVzR2QmUjPWhgKhsZV+eOysbRCSjeikb6oQvljUxpE1PayML7tJGpaHI8bGorb7ZamttLm201jQ1NtZXWR5XWh9UN1W3V9XR5PWNpZC2NbFlDn8CUNfQezp5LGxhLfR9QWs+U1jNl9Ux5HVNeR5fD0dKojpd4KctQe7HsvvFIWVtWB4XwEAqBKWjibjZzFfUtbeUloOg89dcx3mjkcyOARmIC6UYj7RTV3t7e2tpqtVqbmppwSvf6+vqGhgZpvaGhod7bX8PQ/TU2NDT1Bc0N9daGhua+bNKn/ge+cX1DY11DQz9RX19bW1uD/6qqaqurMWqq3f+qqquramqqa2th6dygpra2tq6urlb+G4ESqJP/BkEC3p528rLBlQB+6bS0tDgcDpy/B6uXcdSrHo1insYGOIuvmNTZWeEEnhH4dpjp1xlix51GPudD/fTb3/zyp4fX7fjonPXDnKZdWRW7sit2ZFek5jxMzilTnyslzpcmnLMknLOozpnJHEtitiW5WyRlW5KyYTMMdY6F7BvgXtRoR2InXit4R8lod4+3x76O0EKeQ5ucKyXPlcKjw5XhU6IhETllZE757uzS/aeLTx26mbM/9/AXD8jMUlVGWUpGeWp6WWpm+Y6shzszH+7MqugWD3dmle/IKtuRbXFHlmXHoKAU7g6idEe2efQCyrZ0e3ZparYFIyW7NDm7LDn7YXJ2RXJ2WVKOiTynU53XJpw3EueN+zILzp7JzT5yOfuzKyeO3/s4zUieNcdnlCdklKvSS/sCC5FhITLMXUC61kJklGGo0i2qdIsyDZadkGZRdQ0izUJCmMk0EyrxT+8lkWZBMOOSPGtJSi99KlCWmlaWklb2YXZV3IVqdWbhl8ezKvemlI37KTfmW9CoFZmz4vLqz58dqTTSQdOUi0k2NTXV19fX1DipR00NZBfD5q+utra+tqZPaOhj+z51PvCNa2rrqmtr+4eqmupH6K+ysrKyoqKqohLjEfzd6a+isvLhIycqOq2Rf4xICVTJf7IERrgEqqur6+rqWltbKYqiaRonNOoqitgoWy4AgMGjCgcAJ8Bw6YIN8N61kc9CT5u2n/zT+Zd/+f676r8S5j+rDJO23Zm07fbEbXci4vMV8TdCEm4EJtz0U970U97wh/UbwfE3QuJvhHaBkHjYQIogtFVg38ug+BtBnbuSdivWpXvEm/RjX/3YJCA+D28lVvrRySBtEhCfF5Bwwzf+pn/8ranb8uasObc6+tDWOZ/MX5k5PuH+H1WFr6seTIi/F7r19sRtdydtuTN5292J3eHOxG35kdvyI+JviQiPvxUef0sxWMhXxN9WwCvwpiL+xqhFODz8m4r4W2EJToQm3AqBuB2ScDs4IT9QedNfdcNXdcOXuB2ovD1jy6VlH5xes+zw6kWHFq9Me2vjlcBN197cdmP81ht+W/P8tnSG55IteX5br/ttzvXfmuu/DeO6/zZPSNfm+W+7IQLuYvN19x1tyfPvFgFb8hCuuyo3Arbc9ETg5puBm28Gbb4ZsDkvEJVBm2+Gbr31VCA/fEu+Ymv+n5X3f5tYELTt0sp1n+UsXpf/m5cp7BspoZFf//zZktNHsW9kC88Nqs1qj513adTqVRsJu6Nph8NBUZTdbrehv3bXHzWM/hyUnX66YaccnXJ7SfN89Vy3u05au6293d7mhE1c6qq0tbe32pxocy2U/49oCeDbVi5lCYxcCVAUhe3vWZYdZUSxm8MVAOClEAQG00gOQG2kGKm1kzbyWR/wrE/rT/5X5suvLZm1+xV17a+IKv94XVCCPkhpCFTqAgmtH6kdT+rfVOvfUMNyAgnhS+r9PEHAhb6oAW6GS7z5m2jzvpbjPXqT9uxZf5x99XVsw7n9G2r9G4n619XGN9XGyYR29vrc96OPb57z6ez3L/0lufLV7dWvpVb8KanMlzAHE5YwlSVUZQlRWUIIVOK6WBKWEMIcQhiDCWOQC4GkMYA0+pNGv8GCyY80wc7V+tEMf+fhG3zVRl+1CZUGX7V+gto4Xm16M9H4ZqLpTbXpTbV5fGK5H1n2VsKDRR9diV2evnTRmdmrvorccjeQ1L6RZHgj0TAh0TBB3RmeS9SGCYn6CYk63ySdb5IWlXrfJE/gtVq0yuCbZBThvgu0R1+1wa9vMPqpTZ7wJ03+pCkAlWI9AC0Z6aU/YQxUGQMI47iksl+nlvmRBcs35+Ss2pH36u/tL/4vqISU0Mgr//lMyamRRiMdLIMpKcN0RFph3P9YhuG8gUUNB8M/0LNPPCaOYfi+QBx291uJzZ58xemzDJ1zWYbrLWiOpVFjMQgGTPnpAoyi6/pz1lFjvAkjXe1qJv8fcRIYjMg9o7tPDsarEiNWuSry7dL7W0N0C8SbiD97rPBizLRu6NVoWeVOI3meAYAXAGAA3yaw3dDItn/7p6xfvLpkzse/TGn6RXLDeJXRT2X0J8wBhDGQNPiTcP46QW0erzZP6AXGo5Zvqs1waovKNxPNb/QXnfrBvUlKvC+xxI37va++bag2vzGM8bdE89+SLK8nlr6pLp2s0r+3Pjdu0ZEP5uyc+f6Fv6ZW/ff2mt8lP3w96aEvWR5IlAcjBBHlXaMsiCgNRAggSgPIUn8EP7LUd3Bh8SXNMiaoLePVpS5Yxqstb6otb6jhyR2vLvMly/3ICj91dQBR+VZ8yYKPvoleljEn+vT0uK8Um+8Hw08J5jfVFl+1GRFRk6Q0e1sIyapfotEv0YCA626luMrkl2iWQtJ5x478JMQP078uSrNrudmftDwlICwBCD0eTgABD3lccsWvtz/0Uxet2PLVhbUf5732R9vYp4VGQhaBZkZihEO3dzwKGwqTfHCcwPJOcPDnE4lUCYcxoMBHAUPNP1FwPBoASq0CM5v0JsmHZ+YP0TUI5jTkXRCXuipuG7oWy/9HsARGy6R6qI4TxqyW/x5PAuLthLuR7VT7dfFiGsm5FJIwljp8F3OAYoUWDmsjK0GtrpM2EqUjo1789vlf/CJ27s5fp9b9OrXOn9AFqiCCVZowoiSU1IQQumBCH0TqgwiIQFIf0BP8Sb0IP7Xet+/AOiixE7eKn6t/cSS4AdSRIgVOP/bY+03gLjyVscNpia9a75donKA2BZDGt1SaqHVfr1h8aO3clHffz/BLtbyRXOarNgSpTSGEKVRlDlNZwlTmUJXJG8yhUFeJ1xpDVYYQlSGEMIQSBlgnDMGDDn0woQ+GV+DohD6YMAQRhkCyA1gP7E8aAwlTMDyDpjDCHEqWh6lKZ8YXLPro0vxlp2bNPzZ9xYWJm++FwzvXFESaQwhTCGkMIQ0uGENItyXiKkMoqQ9V9whDqNroBlfnHV2FkPBqCRsIhBKduvW6r+G2EB97zyOHN5Q+hDD8Kcny21RzMHlv9ebsK2t33Xx1nG3sPz8N2kjIIZ3JIXnxle9eQd4Y6P0n4Bea4HoZ4uSILrICWYvrVTfgFewZ4trxgP0XfU6ecEWASULgGOBpGLCjkzuSJSBLQJaALIERLQGRRnLwBcGD5qa2Mku1Vl9RUGy21NQj30hII20Br8C8kThSK6KR3FifKy//58o5qa+l1v02pTZYpQ1TakKV2nBl8URl4URVcYSqJFylVah0GGEqXSjRJcJUOtwghNBhBBO6ILLPCHZtLvYjreC1oQTc10DtsfeDHP6UJojQBav1ASRkeu8oS+auu7pq0ZEPona9tyojKNUYlGSKSNBOJowTVcYIpSFCiUtDhFLfGQbJWl2EUheh1EaoICKV2okIkUpYHzToIpW6SKUmUlkyWqGJVGoilNpwlS5cBUuFSh+mMmAoVHq0UBNOaMNIo4IwzIq/u3Tjxehlp96bf3TGigvTNt+bpNKHEZBnhqtMCgK2CSMMCgijgsBL9GGEXoEQTujDCUMEhD6C7BGGCNLoBtSD3q2MUOk9YIhQGdBCXYSqtwgndCMRESo4bEW3CCPg+Q0jdK8nmcelmMLIO+s2Z15bt+vOq7+zj/lntxA7I8yo1WnL6qKRXZMXZ/pDADgAWCBwkPBgQG0XJwBWAIwLLGwzKBC/xTrpVge3dcYe6N9E4QmzR0wdpeUQcEi3Y+6L4NzNqwbtq8GAf4YYDR26nVj552NKwHlnSG9Jab0vN84obcuyrNVqpWkax1kdpVJ43MMWn7ocAIBhQN71e6nJ+7ds3bF6vfKLzPOQRlohjWRCfkeNkdDIH8N67s//c+3s7eNSGscl1SsSdJEJ2ogEzcSE4snxhZMTiiaqNJGQPHTM9tCkVue1xM3QfLdXtLMrRhrmYq0iffWshHcektige6Lb1R6fsuVhpD4I0ci3lZp5a3PXRJ/e8t5nUSvPB6aYgpPMk+N1b6lMk1XGiUpDL6CfqNQhONnjJKV28lBAN1mpQzsqmawcndBMVmomQaKOGbUuElIyzMEM6AbUhBHFIURRsBp+tZkZfyfmo8tLYs/Mm3f8vRVfvb25IFJpwF6vWNUMdZKdYAwh4LcGjFBEUBUqQwRh7B8UKoNXhKsM3uD9GeL1wSJ9pIh3+kiphBG6HqEgnDTy9ykWBXlv/aas3HW777w6jhrzL240EobYGf6+kTTLUAwthujB2siuFZHQsIsDDAsoANqB0AZ4G+AowFOAdwCBBoAGwAHgWgwH+jkYJQ09QTqBRRwGkVtIcfvHE2DIu/5u2789drOVayRQM+kJcTLhtkoQMJHu4PYwgh+c78I1nWbSWHvMoxB/ro8BYgupFaxoDuumYWY7nwK3MyL/fAwJwLAZ7nB9nRE/03RZQdsO0hec0dktuhnRzcGhz2bwfoIPC3ibOe845wesTrcYpgye96qXRo/LLobp9tIvkk1NTTk5OVVVVWK6jmE66GE9LHzt4O+ngKbB6ZPn3p2x+J0ZSyZNnavcsVfURrJh4zxpZN7P/3Pd7J3jkpt/n9gYkaCfBDlkyeSEoinxRZMQjYxAmhApbZOySs+625yvxymUZ4PeTBDdppvSTTw7HG1LwklDsJNGaueuzVsbnb7lvSNzVl70TzEFQRqpf0tlnoJoZKTSIIExUokBF0Y4V+kjVToIkcw4WSXmloNdaicqNaMZkUgbqYAKSfxpRq9QQUA9PKEJIYuDyaKgRG0IWTIz/m7MR1djYtOi5x2bHXfhra0FCpUB+eaZgwiTE6SrQpiCSGMHUPykYEgp9QrSEE70BNIQ7oEwOKreATIrrQs9s6yn+P6FVhUEPLNIG2n5fUqpgry/flP2tXV7b7/6B/vIpZEih6Rh6BynUau7IavzN/TRY4GdAVYgNAKuAbBNgLECthVwrYBvg8RyiNAOBDfYgGDvOyggOIY3aDg8SM5FYArdFYVjBaeimMEbCoDhUDh4IHBA6LSVABjeCZYHXGewrlViG5oHDqFjGPh7gR0AGYMgAcFLnwKw9xKukyJ+0JErjyMBB/pABo0vAGBZCJ4HPAt4Bt1U3VrvQ+qJv05JS6kRxdOt0sQ0Er9Aqqur9+zZU1paKtPIgSKqHAvu5Jfs3HFwx87DydsPpH11BdLIljCVzSoAACAASURBVEegTk+H/Hcno9Yf+4AXfa5DbeSu3yW3/C6xMRzRyEkJJZMSiiZDu9aSCJVGgQyu8FzHjbyJPzGLE2e6A+IN1XMnLgO/nlsOhHfWCNqLgjQGk1DXNF2pmbPu+uqF6ZveOzp71UW/VFNAknlign4qYZ6kMkKu6NJuIetWU4QSIlxlDEeaJW9KJK+apcFYqBevrtFcCUV+odBQmdAFSYBMu7XBpCaILAlM1ISQRTPj78VsyIuNzYie9/nslTlTtt0NIbQ47E2AxLtS6mkp1gNIA2qjDyJ1oaRe0S/0muxpwwiNC1ALN5qBaSR+cv41yTLOqY3MvrZuz+3Xfm8fO2K1kW40koHBZbrRR0IayQEr4BsBWw+YesA0QjLJNQGuGfBNgG8eKjSh3TUBoRkC7tcqgWstHFI3wJu0oA1bAD/8ILQAoQWAVgnaoCoY2FDZ7lHaIIUQbIhmtwKhFQAbj5XDkJnYBNDuQpsA+8GwuxTIsE3nzlGHkCtK94gX4pZy2UcJwLMz+IDnywsXlRf2SwIUtLZABhcCcPDQIoOlAccAnkOhq7zZC0AFpgDVlYABAgYLP+RAQDUmjI2CnJ+7+Gj3NC3m0TuFpmmj0Wi32zGNHCgqNcr66aTJFnhgbbaVl9WYzI+0xocVTVaGo0BLFajT2wNfpf8NUkfoHvkcTPgB/s0n7+c/Xzd79++SW3+X2OROI6FvpIRGQh8e75AqAxWY3Q0yc4OBXiQYQRxvCIaKaCTULE1XlsxZd/39hRkbZx+fveoSppGRCfophMlFI42ISRojVCYE5EenMnq1ThyqhUaFyogc9npwKuve5WzEr1XBww8hdIGkF2Bv3kBSG0hqAhI1wWTRjPiCmA03Y2PTF847NHtl1pRtd0KIEl81zBGCetB67Ue6MIiEvDSU1D0hGinqJ0dbBboMhKt0HTRyc/a19btvvzbOPtbdN3LEGLV60Ei2WxrJ8wItQFvWNkC3AqYFaSOtgGuBeCI0DBMtZ4mIE6wjbtlzaQXCiIEArAgtAmjtHpA9iudCaBUA0hJzrQJoYYCVBlYGWFkEDrTwoJUHbTykl20ANm4RgJWHJdwQcU6bINgRbIKAYRcEhwhecMjoRgKioHAFWoC7gaNcxuHIRBz/5BxAhFv73vzEtEcuH1cC2FqBdjJBSAlpHtoSsgzURvI8pIRdghd4FqoynYOQ8klOgJ7l0Ll85PPF7gO4uh2flENKTV5HGRvs9+FKTaTRpwr0NYLhgIODz2uRRtoCXvGkkTd//vL62bvHJbWMS2wOTzBOStBOStBMSiiG2khEI2GIHRwiAs51OryzOhRZyPfJjWMMAVmSd9GVBFw0UjddWYxoZObG907MXnXFL9UYkGSW0EgXe1RiDmmCsVggniyNxC52+hHPA7sNrNLd0SH7VaihQuGsghCN9BoFKpDUBqg1AUmaIDWmkbdiY9IXzfssKi7zra23FURxAKkLQOQwmCwJJjXdI4QoCSU0YYNGIyWHrFUQ6Kki9YKGSzSjDzCAWSTy9P6bUxt5f72TRv5u9NBI6B4Jp0YsDygOOFiOoRmWprlOYHia4Wn6ScJB808dBActOBwQdPegkfwZDmadhBHgOTvHwpygFO9oAlQToJoFR4vgaBUcbbzDxtN2CAaeL4528A4KwcHTCKyDZx081xm8SBwpXpDRvQREWeEKzQmMBCwrsAzPMTyP8ufwqM5xPMsJDAsBG/QDHGBlDIAEBHgiOIHm4YcTmoc/aZ6z85BG8oCH3uJdgxeg4SsyTIflqKWRmDOJpNGz0m9SNfo25CVR67D7NAsAx8ErjbcBgRUcoLUa1Bvsga9BGokVks8jheRPfDCN/H0HjdQhJtmJRkKLVqSKjFAZIr0hwiOKBg4L2RXPkZcPqgQU0O3NEEzq3lIWR63LfX9h5sb3Tr636rJvqsE/2RQBtZHmSSpTpBLRSGTIGqGCHFKkkU/anBVZtI7M4JwDEFDU5QkZhrSRXgmkUxupdtFIsnhG/IPYDfnLII3cPzcu/e2t+RGqItRMGwr5Yc8II0rCCI1i0GgkNl5VSKxYsc8nCjmrDSc0ow2IM8MYvKOCRrLQrLWLT+QongvrALUPW2otbdUPbZYqu77arqmxa2spXY0dQ19L6WspXR2lHXzo6ilvcOjqnxLo6x36BgcsUUXX4NBC0F6hQ8t1DayugdPXsqZqurzK9rCisbSyzVjtKKyjbjfYbzdSdxuoe/VUQR1VWEcV1zpKah2aWoeu1qFHpbbWoa116OpoKbR1tMYdjMcSzzajfYm2jta6JOms1NJ6F4y1tLHGYapyWCqpsgpb+cP2h5VUeRVdVseY6mEzQy1trKVNNY+BWtok4/EkYKxzaOqpogabtp4y1TlKa9vKaxqsra3QZBX6SLJdMUlMIx0CTwm8Q+BpFxiBZ+F3Awj4tB3Jf27KRrefXdE83KyrtfLyriWAaSSDyKQYhQt+MmIAawM8yztAWw1oMNoDX2N+8i1PGvlB1B6RRk5M0E2ECskOGonCP8BUAeGiH10XFexQ51RLDrJR66DSsJHeOaaRQaRumqpo9rprq6IzMI2ckKr3SzZGKPWTIY00R2IlpNMfEushndrIJ00jR2R2h4EikE4fY0S3QrrNlxOIaWSiNgiG2ClatuE2ppHz4tJmbLk1UVUE876SMBhP7zHYNBKTSRwbGeW60IUTo5FDhhMa0aUcR8N+yrWRLMd60khnUAT0Cmuq5E8fuHH801uHjxXvPaNLSdMnpuuTMgzJabqUdIjUDH1qhj4lQ588BMjUJ7vDkJz59CA127T9nHl7tik125yabU7JMafkWFJySlNyyjqjNCXHknoOLk8690h9ri4xqzrldOn+4wUH91/ZefhmUqYlIdu8JVu37ZxhW7YhIcuoyjKSmabETFNShjkl05KaAZGSYUnOhEjJKk3JKsNIzipLzipNyipNzEbIKkuEKEdlaWK2RUZXEkjKsiRlWZIlSMmypGY6kZJlSco0p6QZd5w07Dyi2XWw+OOjuk9Om3dnlyedK1VnO7dNybLAE9QbZFlSO2N7dqmM/kqgbHt22XZ4r5nJ8zrlhSLyvG5HjuFQ5r2DB9Pv3rwLOBieWoA+kyhStIdaUkAaSNrFIRmBx8DskRv5HBK/KbrmPF2ukWlkl6LpYYWURnaETeYASwuQRnK8A7TXgUaTPeBV1k0b+dNv3Xj55+uj9vwhpQ0btU5EOT8mJZRgo9ZwlQZN+4xhBAy70j2cXpFD4hs50pneoI5fQiMLZ6//ZmV0+kezT85adXnCdkgjwyGNtExUWSKU5nAVhqiHxDrJns9191fC463VDwAfG6GaTKyHlOjreqCR2Kg1URdEahGNvLU8Jm3RvP3z4tJmbrk1SVUYSmhDSGlIm5755NDSSO0o5JAKrHd1RsCGEuhMI+8ho9Y9T5tvZDc0Eiae4EB1Cbd1xbHVS48uW39hztbcd+LzpinzpimvT0/4ZnrCVVTCylsJV6cNPqYmXPXAN1MTnhJMS/jmbeL6O+q8d9R5b6tvvK2+OV19a7o63xtuTVfffButnZz4IDxRG6kqnrzh5sJVWTHzPpm+9NhEMl+RlB9G5kYk5kWQeRPJG5OIm1OIm1OJm2+pbk1X5b+typ+O8JYqX4ppqvypRP5U4tZU1H4yeROCEHFjMpknozsJEHlTiLypLkwj8t4i8t5SwXIymRepzpuqvD5jc+57676e+/6V2e9fmr3hm7dVN8OTbigS4dqJ6rxJathySi8wVX1jKtkZ6ptTZfRVAolYaLemqvOnJt6akpgXkXw5LPW8IuXS1MSvlyekz5+57sT+LwBDAYFCEYxZmAHEIzePgIIjQ6NDF3AdR2rFuXqe7kitPXAieXWfJeA19C/HCRwtcHbAw48atjqojQx4hRkrMWp93gf89Ft5ThrZKqWRMOeHUhOpKlFAPYYOcx4370fPnzAxOgp7M6gcSe68Rwl0ppFXVy2CNPLdlZd8XTRyksoSqSwNV5YqVBaFyoz8IZ3aSGTa+qRpJGJTXcVzerqX49wPWGUHjVq710aSugC1LiDREETqZsYXLttwY3nMmSVz98+PS0fayMIQ5A+JrVV7qZAccho5Cm1ZoSErTqEEDXoJTaRKE6HSubSRIo3sIlLr6aMM62hkmRaekwayGfq6Ty93yXAszPnhoY2EFq4w7CCPaWRzCdgScyJ2/rHF676ZubVoUnxJuEoTriqKUBYgPAhXPohQFoQrCxSDj7CE+08xFMqCCFVhBIFRFE6UQOU49E72dFAuURDF4USxgtAEqM3j1RUBynLFhpLoFZdXzD06bWmmv6rkTVIzQfXAnyjyVxUGqooClUVByqJgZVGosiRMqVUkQIQlaEOVEGEQmjClJkSlCYYoCVEVB6uKgojiIKIII5AoktEbCQQRRcEqJ0JURaGqojBU+pFF49VFwcoHkzbdm7E2f3bczXeW505beys0oeBvScV/Syr2TSz2Uxf7q4sD1MWBZCcEoIVeSlezALJYRj8loMaiKwkgSwKg/AsmJN18M/WbN5JvBqhvL9z65fy3NhzfewJwLBAcLHDwMPyqgDKwdgq3Iwg8K6DQrCiaDq6zrhitMIHSUxFix82QtTc/+8ye5A2cEugUqRWlL4VLOAGmmrXD1zQDbPWg0Wjz/w09xo1Gfjvv5ZeRNrJlHIzUasTayIkJmkmQRsKIF2hGq4fURUyw0VUFGbKGyuasT0wC+jACnilEI/VBpPYt1YPZ6xGNjDr17spLE1J00KhVZZikMiNVJOaQThqJCCSM1IoTfjyeRrEHxXXXnY/qPB9Sv0HMJEMInVffyGBSG4QQSOoCEo3BkEY+WLbh+vKY00vmQm3kO1tvRqoe4Jg6YURx75nk0NBIfHQKpzkrnMSOFsCHKqSREU6XyG5opPdIrcUnj4xsGon9I52B6QFgBQ5+bedAUyHYGnNqwaxDi9ffeDfeEKk0hZGmMJifVKuAzzUjerXoQwkZAyUBHRImDHoeQhiDvcOA8skaggmjr7r8TXVVEPFoyiZ9bNzVDxaefnfFlxPiS94g9L6Ezk+l81Pq/FV6P6UuQKkLVOqClIYgpSlYaQpBJayrOhCkMgUQpgDCGEgYAiTwJwx+pIxeScBfIrdAwhCkMgSrYDmeNP410RSs0r+1uShqzZ15y3JnLr06bfWtkITiPycZ/5xkfDPRMF5tmAADeRv8OsNXbZiQ6AViSxT+G24oo78SMPqqjb5q/YREzRtJBW+k3Hk9uXACWTx/89WFM5RffJwOoCaRZwCL4rUCVzpJ7C0JS0HgYThWNMt3hmZFdTHbh0wjZXo4IBLApq42SCNZ4GgCZfea3njZ8YIbjfyHvJd/gWikdRzMG+mkkZEJJROVmggVjCLoUowgJvnECBLUc8roSQJ6F+c3BpH6IFIzTVkQtf7q+4szPkI0cnyKzjcJGrVOUuH8kB3+kDi+jqvs0EZ66pwHc4m+c+YYmJZ9VMF1r4k3nQ7njQxGeSOlZQgBk3MgMqkLTDSEIBq5/KO8ZUtPLZ6zb15c2vQteZHEgyCnNrKXNHLosji6orZi5Qe0ehgdgE9UGK7MGbFM17U2cnf+q94jtWIa2cSxLTznYOheagQHo1l/tJHil3JnVHponcXwAKbarn8ANi89OXfmgcUf3JiphDHBQ0lDiFofRuogz1GZQgiYDFfGwEogFPJzY9c0soNe+pOlfuTDieTDmRtLlsec37DgeNTycwFbCgJIY4jaEqgyBqqMwaQpkICc0wVTCOFEMGGSIogwIRiDCHcEQm4po2cJYNFhUaO7w3kqfUnLm4llE0nzvPiSxavzFi48F7Xo/Mw1eeEJxX9NNP0t0eSrNvqRTviTRin8SO/80I80+MsYCAngPM4BpN5PrR2fWDw+uehviQZfpWHextwls5OP7snCBIBBxqywjow2OueQhIs8gTcUlw8IkZA7Gc0SQB94Ya5YaDLEtoKb5yrH/YR6XkIjn/MBP/3HvJf/S0IjDRMTtJEQJcjOCn41l0xtsbKrKz4prpUrT0oC4smCeeSDSM3UhPtzP7y2LiZnY9SpmXEXEY00KBJ0kEaqjEjrCJM04oqk7NAlIn9XfZhqSCDxCZRcdeJBjcYKDkXjrdSGEk4aGZRoCCa0sxIKV225hWnk3BVp0zZdjyQLhy2NdJ3fvvlt9tIudxg3g0RdpJHItNVNG1mqIJ0JP/Jf/W/qxX+B2X2f9QHP+4Afw9jabnkjKYZ+gkyyfzQScIIIHJHQAV9RAqgtBJuWfhE1Y9/iDddnqkoiVCWhak2IWhOm1oQSuhAVzhSsRzfDQKnj5H76IIFgwhiiMr9NmOd+dHdlTMaGBYfnL88M3XQ7jNBHJlpCVcZg5NYSIlEXS+tuauQQQt8V3FrKPz0lIIouFCrqO17P8MO/Su9Pmv0Sy94iDEu3Fa5YdSV2wZkFC9Nmr74yJb4Q6cGMQYQ+uAugBFOaQNId+F0SQmhkPKYEYFotQhNKaIMJjb9a45+o9SUtgdvM8zfmLYlKPbInB/MWBn5bk/9kCTxJCXRoIzGNzM2s+O+x1LPd0MiGcKUe08gIZUkEdEuBNNLT0A5bTnbWjGE92Gic6LsmxMPr2DGNnJJwfw6ikR910EijIl43iYCmrdiyVOGqeBqaQg4JX1JQJzY8D3OUj8rpOZloCFZhGpmPaeScFWlTN12PIItcNBJm8ugCQ6eBHOUnS7yPcPIkVzxeCY1MLB2XUtY9jbzyn8+UnOrwjXSjkQzHDobWsas+B5BGcgCA2iKwKfaLqBmfLt6QO1NVFEEUhSYWh6lLFGSJgtCiJ5H8mnmSD+JQwqBQGWcShgUf5a+KTfto4aEFKzLCNuUrCO3ERItCZQyFX53lczSk50h8mrj8reGkLZA0+SeWTVfpY7beX7nq4vLoU9ELT0etvjw1/kGA2hBAGuB3GQnwT+dCmGi4RIogsiQILQkhYdoo5CAhl/2XgIIoUaDkWqGEJlBdEpCo9SdLg7eZozdeXzI39cjH5zBvkGnkk+RP8r6RBDCNbIdOJzzg20FuVuVvx1LP+IAXfcBY9HnbXRsJaWRkgjYiQRsBLVq7oZH4ZSHVuQ3pk1Oej/YoAZFGRn14bW1MzoaoE++uvDgBGbX2kkY69ZCIQMo0skeBP5EGIo0MIXXvJhSu3HIrFhm1zolLm7r5RgSMiaAJ6iFSq0wjh+7Zhe8jceKHLHs14QQ2/dD9LbFsXEq5gixAkVp3e9VGijQSG7VKaSQOZNMV5RuM5QNFI2kUY8dJI+fM3IdoZHGEqjhUDWlkOKSR2Ed/6E7VE7mfh/lOQwhjmMo0gzDO++j2ipizH0YfnB+XEbo5P4zURyRaYHg9lfw0GdJLFD5BvMWjCyRNSBupX7qtYMX7l2KjT0Nt5Jqvp2x7EJBo9FcbcCaoIBLmg5LySbRcGwRfG+4IJjUhpAZr0rr4JNnVp0p5uRcJhBJQnoHq4oCkEj+1OSjeGL0pd+nclCMfZ8s0UiZxw0QCIo1kIY20gWtZla+NpX7kopHPQRMp8NPv5r38q/VRe/+QYh2XiGmkJlypDVdqI3DugU5GrUP6hBzmr9RhPjxMIycn3I/acG1NbM4HUcffXfmVb4rOLwlrI03daCOx96P8WXmYn+KOOK7IN/LdhMK4LflOGrkC0shwsjhADSP0eLz05cneE36UdXj8wthCxZHQhBPTyIcKomD9puxr67ujkSxHu9FIzCFHqDayg0Zujv0C0cjrM1WYRpaEqYsjyGL08f4Jn7Ph/zgY7BEGQy9K09uEce5Hd+Ji0jbM/2z+iozQLXdC1fpwtTlUppFDbrQjfpHqyJGlgo7XAYhGTiP0S7YVLH//cmz02QWLMmavuToZ0Ug/tSEYEUgnjSRhQHARyOHeC4eENBKaYnphRB4vGLlNzxLoTCNNLhqZLNPIYcKg5GHAQE8odWk7LBGNzM2peHWM/YduNPJ711/+1bqovb9PaRmXWB+u1EUmOGkktrka7BeT3P8gSUBKI1fHZok00l9CIzGT9DRqVWBPyCF/Jw6SKJ7ibrE2MjARzgpmQhrp1EZGrUibsjlPppHD+dQrVPpwlR7lkCyMVBVFqLR/Sywfl1KhIB6s35SDaORvqRf/uZNv5LM+WBvZPY0cMm/JfmgjORRix8030juNjFQVK9QlCkgji2QaORwuZegbSZimIxq5KiZt07wD85dnhG65F0oaZBo59Ceokx5STJTsopG+6tJphGEJ1EZeXrYoDdPIKfGF/olGPzXMEAX1kFKg7FIhcLm7NlLUQ8occgAJs0wjZZ42/CXQiUYCO7ieU/HqC/YfuNHI7+Y6aaQV0UgYXCdcqVUopTFa5a/AI08CnWlk5oY5x95d+aWojZxIdKuNlN1bRgKFhp4sKKukM2+klEbGpU3ekqdw10aOvMt46OdmQ7ZHBaGH3sgwY9+DSFVhhEqDaGSlgihav+kcopGvUS9+vx80khqq8K39oJEsj0PVO6Ps4BA7HTRyE9JGLtlw/V1l8USZRg6zx1AQaQwiTG8Rhrmb7iIauT96eUbYlnthpFGmkUP24MA78qKHdAWADid0gYlmX7V5GqHzpJE4vUeQlEBK7Vq7pZEDSKLkrmQaOfxJlDzCzjSSgjTylReoHyDHyDHIohUZtSIauecPKc2/T6yDtqzKEgVOETzMXmFD/JQe6btDXxs1UxLuR314bU1s5oY5R99decE3ReubZAhL0EUSJjGgjhdtpEwjh/3Fj6MhBJM6lDcSflyeoSxcsdWpjZwdlzZpy40wdYm/GjZAr2zZkHV4sWg0D9SHw9TuBZGqBxGqYkQjHymI4vWbzl9bvyv/1Vc8aeTXP39Wc+ZY99rIYUgjOYZjWY7heYYXOJTqAysku6SRs2QaOfyeQZBGkqZphHEOopEb5+2PXp6u2HwP5vaUjVqH9nz1RCNNvmrTNEK3NP5B3OqvRW3k5IRCmOqQ1EM9pEv9GIJi6OFo4G6+kTjvcIjsFTkIprwyjZRJ2vCXgIRGAiA4QO75ylfG0u408nu50Ddyz/8kN4k0MkyplV3lRzqNRBYrmqnxMFIropFH3l113jdF45tkCE3QRRAm7AApkklpBeX6Hl5z7pF+OgZ8/JhGBpG6ALUOayNnKAuXb70VGwPzRs6OS5+05WaoWuOnNgSShgHfu9zh40vAOQ8kisKJ+5FEgZNGJlcpiBKkjdyZ/+pvqBf/yU0b+TTQSIldq0wjR9JzFtPIqSo9pJGxaRvn7V+4PD18870wQq+QaeTQ00iUfLbDK7KTNrIzjVyY7vSNhAk/OtNIFK8Vx/5yfpskOoxasTMkJDyyV+RAM8nONFIMsSP7Rg5/bjWKRtiZRtJd0cjriEb+MbnpD05tpEamkY8/R3ziPYg0cq5II1ee90vR+Mk0cmhf94N0JXRYtIo0MqFwucs3EtHIW6FqrUwjB0n+felWGwbTVbhrg7FvZDikkfciifsuGlntopE78l/9NfXi9yCNfMaVN/JZmDdypGojGY7heEYQOEEQ+J6MWmVtZF+usCHiophGTlHpozbecdLIZZBGwtSFanOIHGJnCF8t8CtUTzRyqkqLtJFXly3MiF6chUPsQKNWURvp0kOKF5uLSeqCCQgxRLtYEVvKlceUQCihRZFaSwKStJJIrTKNHEUkbfgfqieNfPTKGPaHXoxaZW3kYz4QhuHmnWlkxoY5R2atPO+fjGmkNoIwetqyigpJWRs5DE+o25A8aaQkxM6nMo10E9cT/an1MCrWh6EMfOEqIzRqJe9GEvcQjXw4LrlGQWiQNnJH/qu/etpoJMuzvNARZYcVBA7wDPDiGynTyCd6yXrnpcg30jyNMEZtvPN+bNqmufujY9PDtxaEqo0halMQocfmkcNw5E/fkHqkkRNIo4RGZoo00l+t98OOkRI9pFQ+2LpVLKWr5PoASsBFIzUyjRz+bGrUjpADgAGgDZUAQG3ko1de4H7gA8b4gBd84Edu5Bt5DYbYwUatteFKTYSyRNZGDuCz4kl15UEjP5+18px/ssY/SR+aoIkgjCJp9KzINPJJnbXe71dKI/0TDYHYNxJqI08unvMJ8o28FabW+quNslFr76U6OC290kijQmUOV5k8aGSdgtAi30gJjXz2adFGsjzLSXwjWSCwMo0cQhXWY17fQaQpiLBMVRnnbrq7JjZ9yxxIIxVbC0MSzcFqY2AXtOQxdypv7lUCfaKRyxdlLVyaPXvN1SnxD/zVOl+oB4OaRlnH6FW2Q7MQv8ID1TKNHLUcbQQcOAe5I2hFJeSSiEbyHjTym184aeQfEmvDlSURymKZRg7NY2RQ99KZRqZvmHMY00g/SCNLIgiDJ3sUl8g0clBPzYB07kYjA9S6d5BvZEzMycVzPp4dd3bSlluhap2f2hRImsIIQ2foB2QMcif9lYAhDDone9LIinHJ9QpCt37ThWvrd3ZoI2UaKSf86O+l5l2v2L/eAklTIFk6BdLIe2tj07fN2b8wNiNs64MOGonISf86l7fqkwT6RiMXZ0UvQUat8QV+pNYXJr6XOeRA3hp9One4sYtGamVt5AigU6N1iJ1opMCC3PNVr7wguNPI73nSSBipVeXuydOP20Te5AlKwJ1GzpVp5BN+awzsxdCJRiYZAtS6t5WFy7begjRybgeN9FWbAjrRSGMYYQyTI/E+YQ0QppGWcJUZJvwg70UQ98KJ4r8mYhqpX7/pSxSp1eUbKdLIZ3yujmjfSFkbObBPgSHuLZA0BZCWySrjnE3318ZmxEMamR629UFoojmUNAYjjztZwTU0J6U3NHKKyzdy+eKs6MVZUWu/mbytwFemkV0+/Yd01uuikbI2crRStJFw3J40svo3LwB3Gvn9a7/4zbqovf8DQ+x00kYOlcmD9/gTvX4Ue4ld4bataOQ/VEc0LOhKZxqZf7z//QAAIABJREFU0VkbqYmArlkQogYSV/BCmWa4XULD8GcnGpnopJGxW28tldDIELXOg0ZitaSsjezuJhWfGIN23jGNLA1XWUQaqeigkV1rI2UaOWinpLsL4qnY6QDc85hGTlKZojYVYBq5KCZdsfVBmEwju2Qmg3Vd9ZlGYm0kopHYN1Im/J3va0/fg8E6d3i/Mo0cCTRqtI8R+0a2Yt9IARq11vSCRoYrS0KV2hCVdki85bWKjijKffoSJL4TNR7hK9zvfXi3utDbJ6dKh6iU3kWocEXcqfsuJI+j3rfsppPHWeUcAKKR2qnxBXM/zF0Tm7FhjtM3Ehm1Qt/ILmikMUxlDCX0vRXUkL89JaJ+HCmN+G2908htmEZC38iJW251QSN7cxmPePn0/jrxvNTxE8NzeS/6FD+Kdf80E2lkaTihwdpITCN/n9ygUOlQiJ3U/Nd+Qb343Y6EHz+CIVtHhTZy8Ye5coidXlxtvb1L0QPd4HqZ9XYrzwFIaOT9NUgbuSgmPXwLpJEhpEHWRnpKbPCW9JlGOiO1Qm3kMKSR/Xra9v9K9nZeNGFECZpNDmy3XfYm08jRTtFGwvH3nUbWhCuLw5XFISptsMrpg+15uw3g/a4gtOFECXJ76dP9C+Mconci/n6k8QymHybxHsd3K6JV7l7l4rFIFJVaOCqVTqES94IpZS/fwtKtunyAeEoVD1gyjB639aqGxXs3hBKGYNIQQuoQjby2JtbNN7KDRropJBWQQxokNLKX0+IeRzukDeAbVqVTdKa4XlVMfRF494fgpA1e9+L1dPe4sPuuvNNIlzbyvbizkVtvBXvRRvafQ/ZCVl6vye7l9vhrve60exbXaaficSlc1wxKwQ2/PYnPhx5PFmqAH0cloc5PY908N0QaibWRdyOIe4hGVv4hqTFcpftgU3bu+qT8135O/ds/eqGRp4+xHN3EsS08RzG0g6FplmE4FoNmGQotoVlmsOHTyx0wHIcGx/TSqHWY00jxiundZdHpanv8TVwXJb6TxQe0cy/exqbHNNK1Ib4u+zMqTxq5GNFIRSLM9hFM6kPVQ/EB0tsx9udwHv9cPE4Pj3kUvaKRSs3SbQVxq68uXwxD7IhGrcONRj6mKPpxFvAexRL1IKWRogIBX1f9f2t2MzaZRo4EGjXax+hBIy/0pI2sCVcWhSuLnDTSyywKvrMkLyPx0S2+y3o7e3M9N5wTr64/A7ndzs49IqqjC4Wp2P5/9t4DzIoqzR+uznSgm25ooiCSc5AkqdNNleumDmQQMAtmRSR0vlV1qm436O7Enbgz6+rMOEHHcUQFQQQ63ZxDJ0CdmW/3/33PTgDle95T3U0TTDPj/tcdeeq5T1Fd99Y5p054f+/v975ngI28sVRDV2C0Dh6Dzx36nasng38CglSQAsIAIRkcxKifDiOHcAt+dIC7eVvBE4fKNnySwfcPb95PaMybNjjcj1sGYCSNQgwKVDd37j54Yt9DLx3a/f3tj79ign0jIVOrFTK1wjEcRgoSKB5hDzA5xEP1tboPf9ZQka7Oq4PtNtCSg8019N+hBhx+5Qs/x6/vmqdo5cQtf7VT4YtDlRq4X3sRN1Zk2FvTfmGoEQaaCP8a2FHD7rxJGYa/9BvOr7b2sAJfX0KtC7EoSKMgqQRNN8RG3gxGXq219tBh1Rz++1ApreteV4th5bmmUoNVGCq59tfhv3nT+7WLUKprW0z7nYGvXFeGwWcN/8Hrngv9TSv/zW4e/sWr55wcFCTsepDg3QGMxJ/XPv3jaqQVQDNCfJzsZWXvoFN7SEIM9ww1IAdesKggabGRXjNq02Ijy9T+1c7fWwBG/urjYOSJ2WP9P/nxpUt/+cPly//54YcfAyP/8udLl/DxCUhSu+HSZ0SCN73tSwAjhzU6vNrhx2fvH9fdqf3IdRf/xv8OL9gnnF/bNaHPCbLPLPkE3L2G/npdYfB48HOwg7zWAsOXmavD4Lpv3fjfj4ORwEb+rTByuP9VG2k3GW/DB+fw4g3Wa+D9Dv3puuvaf/HMfpMfH/rWjSdDv3Pjn4ZfGbrt2hN4FixIeE0dLINW1BCeC7SF5PMV6bPCyMaux79wGKmVHN6g5oG+tvrXDLrr/qS13kCbSCEwQQaO0I1L+PCm/rznQ80+/ImDhdFKDmYTuBIHTR88Xq6Oms/7xE+9/ysY+Y8O0b4M9b8WRl6+cvK1i4snfmJs5AWz6DaLHk4CUatmQmFAFdBglSBB6h3tOv7UZo8hKHhzVnBoNOExq1l4AVYOMXKYlsOUHGFh8IZ4OGAgD7Fhg/fjZU4b3djI42Q/A0eQkcOsHOGkCP4izNKCFDADAgzwUoiD2D+Yi8xS0CIFLSJ8YpoRJorBYwCIDlthg5zsZ2UfBwIHjSOFT3wD8AyDx9WZE0+eADJxm/h42cOBHenTbNnBB11dRz4ZRuJaBLHWF35heOsNgWF24Lpmvw6sv7ALEW4ZFlsUNAowyF/d3LH74PF9D/3s0O7vAYyEfSM1GBm24MBITdqKZ2+t/H5B9kOLiWEz8LEDiAIztMO6AS7AtWv6EKQfaqXgIMi/ys9onWeoUvhkqPxXbQDob5hLHJz8NSv86iePGeNBrHvVEOJg67Iw7hhhVksko3kEcH8YZFm1isCahTu2D38OBIvy0MeGv32oBeaXcM8fWumGFW8QtAz0be0Nam9ZGMAnfkECfwe+E/r5MH0ZOCywjTEwjvDT8VDCIwL/9SZcvdb4AzASx0YOz9Q6BCP1V1PsDIHegebChYERPTi6BwYFLqcPWn6onIPjZfB1XG3wYa8S90YwljS8qnVO7XPo/oF3Pexb8KfhP6sNtMG20mYbbZUfKn8At96QxTI0Cw08hZUDGAQOWGiDA1Cr5sAMpj1RkAcaX8Dzg02EFtBISPwt+ApONjbwiIGLw0Yltkh9PIx3Dz68LPIwyMODKyqo+WU03QSHS6Xt6c0OwMjBTK1ym0XuFGRfmdK72vmBRQweqP3Nyf3PnV16bYodLGp9e/bYwE+ev3Tp0h8ufzgcRv758qWBA9jIv/z50uXPACM/9Z5PQKHwp78zjLzovlK79992bvnWAwdPbnN4rKKHR14eecyy+6/L1IoHCWxmyOLJkYWZ3Y/Pg+ynC/eH9+Bh57DGDM7m2rr1N2eswnN3ABfspp+wIOHJPUCjAAWHn0E+TvYIstsiuW2SW5C9tBygUJBEQQbBSMBrahgmIICaLrPciVemEH6KFy9vQ8Pys558gTBSivJSDKf/0paNG6c8mF5ZOUijEIlCDMy//kEhkw+3z9VPvHL7eLg/hE2NEAMGx0BPuJlaQJuzhs/LV9tEm2q11fdmC9h1dw5/4kDHM0sBmwgmCC/BX2k85eEXFOGkOK61NvsP62YwywwdVx8xNHV+FhhZLfr3flEwcqhsQwt/mJOjHNhz0IeZa+a7q478YUaMNtXilpdCZilsEaNWMWYW44IYN4sRiwjm2sdZS0Pt8FlOhsYXtqig5IOrgjaQw7wUZaVuRurlpZgFBjjM6Zzs4ZCbRR7cuwYMXyjP3yn/JPQrFLxuw48Hdzn/9Rsva/ji0kdXPvwyII2vyvi/uAWuhZEfXjn52oVPgJGtf1jlHICREBgpBThsX1okPz4CAMPE8CC60PYZ9uPFSDOhwAGv2dOYzrpu3hsAJCzcA6CCkUMUiulRT7lygZL7LY5es9jNSd2s1M3KSVaO4vnfx4JrHxYUsxSwigGzNgkjN6l0kLBi9lDyeUY6z0vdAsxCQavot4l+K+x+GTaLMasYsYvBakdwY3NgY3NgQ3OgxhGocgTsYsAmwmel6LdIbl7uEmQPTFlSmJEjJhTUqx6T0sWgdl52CTCZuGjUQaNOGnUxqItFLkw4wP28FOOkGCvHGDlCySEWuQR0VgCJmkeQAI9ZxZBNDNnFoA3KH9S4PqyYDWCLGSxUfBHccGYpbMV3CrKHQW4GprKBBY5GQRMKGmELhyCJoJzYjxnm5AgjRxk5CpgceUmlg0WdguzGUNZfAzDyBMDIXd/bgWGkSQ3xDr9NDlnBdA6ZAYRH8FLrp5GXl7tsUmeVw1/dHLOKsCjQgPYBqNvEsN0RqnQELZKfk72M7KfhJeI1HewWPzajXRxy4faBuXfwCrQYgzwMXtaHdw+M66KcHMe+gwESSZADFsk/5F7HZj0AuUGQDPDeLPmsEnzi52pWfgiXNkqimAG6VgxvdBGCniP5tP6A0wj5LZLXKnltYsjmiFVCH3DZxIBFjFvEpEVMmKWQAFarS5DduPxgrbHIBX5/KWQRIzYxahFD2E2g2S0D7gwstA6YJa9F9FlFWKdYTOdaJL9V8lilLovkNkt+ARo8wUtRzSARcMeGAkheXnbj1nOzsp+H/hyzO+J2MWiVXGZAKbCQDUNcIFUbgpEUGtjwY2jfSCxqDeiUiAndmJoVoKxGRFvEsBWOkFUM4ZHuM0PFXbDOijFeivDwOoI2GFx4WR/w1V43wDUnTlgQY4KYwAZhGFtBQ64lDCA1W1GKasgKv7tBZ80A/gyyyMvCKHPTSEPvfuygieI5IYwbzY9dTlFQbmOvASdrO5pA4+CJJUyiCIXgKzxsbBPCY8pvF/120WeWAEfQKEhjQ9Qi+WyiH7qBI1gpApNJI+hX1Q5ftcNbKXot0MdwB4PhGQQv1VUYGQBjA7k41MWhTvzpZpGbQW4O+2LMmN7XvGPY+oUhDHa+DHaLIMUEKQraB5h/3LwcLFOSa539dkfo0OETJ5/+wdnF6/84qQBErcV4j18MI0/OGht88fnLACMvY1Hrn/70lz8BVXj58p8uXwYkeenPWNT6qWykxlh+ClC8KQk5dPHvCCMvX7ly5aLrSu3eH+/c8q37D7w9ACNlL4/cZhiNvs9iL153j+ZVAssV+XDH8uJPP7ZlNd3FDf0Y+4fw7wzZx5riZeBTgBUxCNMEHkL4MzTQMz5ubFz9zZs/Dsxc5P/4AwrPIB+NfBTyk4qPUjy04uJgou+0Sp02qZOX3aTiMylBkxKmEfhiIcYdRlpAkF0Wuc0mnTFLXTzkPPCzyM3BXH/zwnzC9S8MRoZ5Kc5LSR5GbBCDwCFCXysk8K54DQhSKGxUIjQKCrLXDEDay8vwWunBg4Wqadd9gGdAsxGikabPCbIwrQxh1Ah+opa9eug8PLwFtAn3M8rccX8DvArzCwrQGO2zCMwXmMdF6DMMLJngncVwJaLNlXgW8OFP8ONee2jL2/Uv67PAyKovFkYOjQt4BdBoOK0Ci3xaX8UtAIIZGlwb4N+98dCMGDOYFxFY7RxJq9gtwEocxeuNZh5dX/fhL+hTz/EbhPHF4CGGCXzsKYclFnvTxYggxlnpPC29z0ndeBV0CeDY6+BRO4c6waBB0Jd4hA3ZLxJGPrDL+aNvvqLBko+ufAUj/xcDtC9H1W4CI5cMYyPHYdPk1uwTg5laV6kXhkStA0hS9GPDF2xisxTDdjZgMw4QS4gCvsvHIg8nuzgwcwcYDExiXLdPnaaWhCWMA2jkZ1CYlJNlygdrlf9jlP7T0vwHs+N9RrrASOdpuZ+W43jycdNKJwMWvNcq+aocfqsI9COpuIzqWYMa1KP3jPIfKOn3nHTeIkVtYrASLEKf3eGzgbmfAJzgiNQ0hzc3DRybmsM1zeFKR9gmhqodwQ3Nfrvk4lC7RXbbwUqO0XJ3hRpb3xIoc7oMajt+uo9BnUbnWaN6llTbKKWNVtphIQaHb5SXEqyUpOSEHsUq1JBJcfHonCB3YdQBxoZNDFU5gtUOf5XDZwETFiJTLGCMQtOx0Bo+jKZiZihwoqo5WiUGBdljUjpJxa0ZPKwM2zbo1Ei5Gi1XYzolSaIeWu5m5AQlx0xK1ITiFIqRiodUz3DorE3qMEsei+Tf0NS16+DbTz/00uFd37vz8VeoFj+phgSH3y4HbZIfPKSYAcZoxEspnTw6a5fOgA3dnLQ4ehm524TgYKVuq5iwO6JVYsQs+WjURSoeI4TehfRKmMIwEqOvDg61s7h9WAQWNo86WNROKx2k4jaBGz3CyIC6OfAURPB21glaTnBySJC8PECpgFkOWvBEjSEBIFVtUaZQwKTAksRDb/QDYJO8YEVgQ58FZjtqVOIVSqJUTZaoSZ2SoOWYIAWtks8O/SEJeEny2qQuO0DlYHVzstoRqnF4bI6QWewRxH5B7AOtr+w2g2Xv4sG4B1TDKu287LFIYbsYqYLO4wegDoDBy6AwJScYuZuTkmYpaJM8VaKn2gGWA42CrAyoVXsioEFgt+Kc1MdKSc0RIABCC1SJXrvUZZbbWdRJK24GBQUpUeXo29jUW9MctkkuAXB7SMPtzDDyg8GiVlIN0yi4Be8b+dCeFx/c9a07H/u5tfEMrQZ0atikXGMXAVEB4CpqkeIYPCdwy0QxjPRZJZdF7jRLLgtg5qQADEHQKgWrHOEqcIgMOIg1ldagS1ebHyJgB0IbXsQVTIBSAMM8fBIBV7WU5KUesBiBjvNj28MNhIrss2jcnRQB94TSRSpeEoXA1gIqJcjKUUqOkbD5OYgFNPcNI8coFKPkJCP3stCForQcNaGYUUkYUTclJ1iMVzFQD9rFYJUjWOUAVw6FQkYlbFBCNILfrxR91eA3ATDJyX5SAS/DlibflmYAk2YpwABejbFSEhxG4GkK0+C4wXQo8nHIAz0EjA3tAKfJYCHBy8NKMUZOmFBMp0R0atigRigU4TGi5sCbEGHBExSh5FiJklzn7Kl0RA4fajv51C/PLOL/OHEcYMghGDmGODVrbGgARl76zw8v/fEvfxyEkR/+6fKHGEb+6Y8asARd69+EEj/1638vGPmnD69cuvIRwMi6PcBG3v/MiWEw8m9mI1FgEEZ6BmAkjExww3yMDaoxLUNW8g0nMIwBp/EQGADeFxu4jvxD/MnH/OzHWsOfDiOxVJqVPXAAQwIYkkMdHOrg5Q5O7mSQm0I+7FuN0DDDxmF4gNDUy6EOq3ymWnq3UuywiV4BFiHw+H7eQvJy8IuBkSGg46QYeNdgXtDIfVgJBlMgBAUJeFfMpgZocPTGYBkArOgRNHiJ/DSG2TSY+yD0tYDQF9gkDoErepCIHl73MC/HbnZc9bpd5SExx/vJey1iUUcA75bm48CP6+Jk8DfDkg+TaUiT9zAoSKEAJ/us2J1pkXxmwMNeECfL/huPYV6ra/rP/z0YOXx0aKydlwPPKwRECRJUnJXdjOzGvg8/BpOBQRgJ2rPhhzYGLVKwEuykaGUzrEng/gB+0oc1POAd/Cv6qvaVAR4SA0gGOgkYoOCAkAIWDUaKEYsjYhFjgtTHihdYKc4AJO40y+1W6ZxNPmeR2wQYYm4GRk1QQGHur/UWXVeLm7KRX8HILwe6+ocp5TUw8gpmI28GI49jGLkGNvzQYKSXE4M4PNJPS36QyQChkSBRLy33c1JSkMDi0SsJvRIzqWFS9WHHKLj/AG2KEcy3XAcjI4PKTxyMBzvXJWi5X4f+oxT92Sj9hXf8Fyv9gUT9JOqj5B4KRWFRULpopYNRunjksUmeaofXBjAyRiKv0dluUMN6dNEo/46U3melXrMctYFLK1iJaUYbAIYYJyUYKcmJ3RZHt9XRbcOfg7Rn0uaIb2iOWCVwzpolbyV8pZuWL5Qr59c4+9c6k6XOqF6JU3LSqPh1LR0GtY1SOyi1fRBGBgQZYCQtJ/UoUaJG17SEylRY40iUIOUkJcdobC7j9cJtlVy87KFBiwQQiJfdDCY5WdSBacmEWeyzO85XNfdUiTEWBSqcbr0KtgGlhIwoalCSOqW3XOkrV87r0EU9umhAF/Sor0KJ6pwB7J9NgNAJMOS5Gkdnpei1iYFNACOBjay9HkYGcKnAK8eBUMhPIQ+tdPDorEU+w0OOpT5Sfs8ov2eQ3zfI75nkC5TcR0vdDIBVv0HpMqoug+rWqz6dGiSxkw7juk4BsFAHRsh+vI50UQD7PTrVX6FG9ErSiHpNcp9J7jOiHoOaNChxTJd57WKnXXQBDynBW6blmAlFjUrMqMQN0NkSFUqiQk2Sch8n9oNdrgQ45LMCjQwqYlIJlKuhEmdsnTOxzplc5+wuVXsqlB4TirGA22M2MWEXQ3bJUyl1VkodlY5AZXPSKiZ5KUHJSVyk86R8npaSGNUPKFQ5QPsuFqw1j0UK2cVAlcNjkzrNcgcHFKufRnFK7qelC6x0QZDidimwweHf1AysOHZGg2ccIL3s5wCBJCi5h4Tqd2Pkn2ARiGgqxS6b1CagNsDnyE/LcUHq39D83taGCxuak2YpTKGoHiUrlIROiZqUMIPtEE720UBOBIdg5KONZx4GGPntT4aRPID2qACor4eX+nnpPAcYKczDCgvMJ7aHowLoAuIMJPWN2BwROzCWAzASbBgA89oBMJKHsXaBkX7PSP9BS7+npPdI+bwJ9RpRDwZ1cfAdSN281IdZhxAALeQBpkRy2SSPDYzwKC92M1KSQnFwXsi9nBS1S34LiBcCJiWsU6J6qH6MRjEGekg3bsn3jPLvTPJFk9xrQL161GdA/STMVAmoBbCFXoAMwAAneambkpN6JVmhJsvVuE6JUEqIlwNWCbhKmxjgoD3BBbCxKVzjiFnEOCV361CvDp03yhcM8nkd6q1Q+irgKd0kTGIxFmjPICv7GORilHZs2HexyE/JABdpJWaSe4zyRb3Sp70+owrolwHXQwx8QFDs93XoYoXSv9rZv7qlzyomDx7ynnjq9XcX1fxx4qSrMLKIuAIwsjj84vMfAhs5HEZe+vPlD/90+aMvKYz844dX/nLloyvvu67U73l+1+ZvPTAcRsoeTDr5rzPCPst/saEWYgAD+AeRpBeTfh+bQQ7/7M15SOz5gN+hgW8JsVjCh91UfpsECgSLGLHgOIrPUrbh93wajNR4ea8gu7GDx4XpWVB90IrbpLoNIJ7xMgCWgizMnnFaTppQTK+EjIqXVrrMcme11FUtuioltxVURrAeDy/AZzz/wmBkGAs7QfmgScMxmAxhLQSAOg78hW6tG4C/EEVxxjyY9wUs5gE5DfCNETjgvUSxoNzHoS4BgUdQO7BSUcsfAG4tTEUO/4wNkpMDMSoDMBKB+BAOrAa5aVsNRi8ELKLPAq64DovcZpbbwQ2JY2/wJ7gVGUyLcYB1PRZgktus4LP8csHIIccKhpEI9J+C3DlQZamTB97bJQDDABgeqgxT5DUAcvC/4BfEjhi/HQRCYCDS4PfRGM6/ZtQPvaAhHlLj+TUYCY4VaO2AGS9sPIiLIph2iJkdMRqFDIqXUroEudMutVeJ7Tap3Sx3MbIblOQAI4MCNneGnvJXn3wFI/9hsNiXuKLXwMiPPgZGTs3WYOTalj+sVi9YRI/F4eXFECsFSdlvQMEKZ6TUmSh19pSrvQall0VhM/AzQaMS06sJvRo3qEGT08OoHrBBQScZNYOFehVGCigioDB8ygmz1GuT++xSr03qsUl9gvQ+i/5DkP6PRf4PTuk3qWGjGiKVMKUEaAWoSICRwEZ6rJKnUvRYxRAnxUG9qfgZNcIqCQ7FIVkFghgQC04bI4hhARx/ATMKMErEqMZNapJUEixK8HKCRwkWJWklSSsJQU5UigmzHGcQzF3VcswOVMkFEn1Qrv6+TH2/3HlBr1wwKeeNzqjeCes1sE9QMBcL4U8BCwpb5QiPwpQzUNHqXX/UU9GSpJTfMcp7tNpLO6OMM8A5vTzoj7o41EUjFwlck4uTQRxLok5KOccqZznkFuSoVeytFC9Uin02KUmiaIkarHB6jYpb7wyUqpEKpduIztPKRVa5yCgXKfW8yXnB0NJf0RoudXYa1QCLkmY5ZJO6ahyujc3eSgcIdzc2dWow8gY2ElSUgqQJhfDShrW7POpkUKdBCVW09BnVC4xykUcXeXSBUc6b1L4KZ095a3dpS6TM6dc7XUa1A8Ck4qdARRXFDj63BfN4gL5wmh8SBYxKQK/69UrA5AxTzhitJii1l1TP69T+cmdvmTOucwYF5N7oaN/o6KoS/RY5RsM7ijFqiFHDrBqj1KTR2Wtw9hidvZxy3iq/Ryk9ZS0RWg3YJI9FBI7B4PSvb/Gtbw2UtQSNzgCl+k1qWOdMGNQ4qYBdYRGjdjFoFz2VossuuXCgSpJC/XrlvE5NGJ0h0hmm1SinxjmgMRNA9qIkLUdwFBLwgdhi7LLL71rld81yG3hdUZBDSU7u5aV+Qe63SEm7FN0ohrc0B+0OkPZQipdR/DhKM86jXlbto9Q46Qwb1YhRBdLMhLp5JWAFj+dZFnVgRiHOyL1W6eImR//2pp5NjoRVitNKQufsLm3pLm1J6JxhSvWzCrjaaZAxD8DIrQ73Yw3DYeS7tOq/kY0cWFvlIA3cew+N+mi5l0FRVvHySodZabcin02KmaU4B07/OImA2MAiWE27NxBCqQWIYSQJKalYAHXvU/LvafkPrPwHHv2ORR/QyvukesHk7KOdCRZFODnOy70wDIEKAs3zNTDSETOL/Zz0HiN9QMvvM+iCFSWqwEHvolCn3ukrdYbL1ZhBTTJKWFB8VhQ1y72cfJFBH1DoAq30UEoPjXp5uc8q9VaK0SqH1yx10kqXSY0YlfNG5aIJAbIllaRJiRvVqF4FetCoBCjFzyOAxCwKkArEXtrFmEVKMqjHoPRWOPv0ar/Jed7g7K9o6S9vPV/R0m9o6TGpSQp14wbsxhashwYY2SbInTTyGZSIQY3gR3cb0QXshotzKC4oCQa7mYwKzJ865WIF+s8K5ffl6vk1Lf3rWvorxcThw54TT716epHtvyaOvwZGFhOnZheHroeRf4ZIyMsfDYOR+MqnsJGXPkP85KeQmX8vNvKPHw3CyIY9z+++HkZqXM3nMChx8BJEZTAoRClRCvQSQD1jC973t8NIBvmwnHpAU8GhEAvRejFa6hbkOCbWPx9/8skwchB4AJSySG4LUHN+FoWC8MzXAAAgAElEQVRMSlSvxsqd0TJnyKiAOxCnAQBxPyj7gfsOAeeuRDkUN8txHjKpes2y3+oIWcT/OTByKHNsAKNHsCQ4iGoICVDIOAuOugiDwjxoQf3g4Yb0ceD7BIWq5MftHwF/HsynPSa5j5J7KbmbQlFKAV8mJi1dvNyFUU0AAxhYEj4eRkKeAOwcGgSQGEPeFEZqkXKDgDMMQZvIY0adFrndLHfwshd7MQZ9GQCr/JAbTQmRSohFbgG1WxBeXW5GRZpB4Hpz3vj/Bhs5nIfUkKQPopchG4SHQZ20s51WXIzs44AK9loQqI61XBE4YPImMBI3jo9HkDwAE/tRHoUY8ImAvA07bj7fUBoCddfykEM6W58mfmaVEIdiLEowclyQYxY5bMO6IBoFKtSAEdZscPZbRZBI0Ypfj/x6NUghv4B8Fhx7PPSgv/rkKxj5JUZX/zBFvxFGnl8y8aNC4spEfAyKWodg5Br1gg0Efh5BDDJSyCgFy5VwSUt0fWu0pCVsbAnwisvSeMJ++NfW2t/QtW+YGs5QcoAG+9tLOX204oeM36BHiJq1sBEAkNqhwcges/S+Tf5dlXRxg5jc1OyvqmuzHn7HdviUvfY033SSUd+hnO2k6qZbPLTahWFkF3Ye4RENKs0gjkWMW5REtRqqbD5nqX3LfOh1S8NJu+y2KBFaSlBSgobVx2tXO9mmt8m6Y2zjG1z96+aGY5b6Y9b6Y9a6Y5a6Y0L9W3TdO1SDS3D2CK0X7WrPJjWxWUnWyAmrI8I2+MjaDlPtGVN9m7G+Td90lkTtgtNnRgFOCTIqRFhYlcAGxWeve8da+6a16Rjt+LVJ+jXbdNJe31lZf8bW8Ja56RjXdIwX37E5PVY1wCt+WnGZ1HZKaWNQB0hzFTepdPFKh03prBRdVU1uW53LXO+2SGFSTaxXE2XOoF51l7X617ZGdM4YI0X4Zre18Zy18bS56RTvOEs5Og1Ke7nznEH1M6jbKsdBnucAnR5WI/s2NHfcdeDE0w/9bAhGUmpIaPbbITQDfIhYlgkyY17ym+Ugh0JGGeZMqjXEiV2VdWe21L27pe50Zd27fHOHSQnqjnaXtPasb+muaAmZVGAasasREiZxELjusUAkDiyLrBwkUQQb0z6j2kmL7wqNJyyNx8yNr3GNx+nmNqMc0rX2lrT2lLXGBCeE9m0RfRukUKUSph1ddOPbQtPr1sbfVja9aWt629x0Wmg6ZW5+2954vKrhBNl4el1TGyV7bMjPiX5ajRic4QrVR6kdXNNb9sM/31r3s+rDL/O1J8j6M6Sji5WDwFdDkKqvUvZZkJ9RoiZnj7Gl1+SM0NIpoekXtsafVDb8wt50Qmh2U81xEn1gVN4zoh4wYADwQJifWT5rQW+Y5bfNqJ0Df2ug0hmyNnfytaf5w6csje1VUmCTGNoCgXY+TvFSziDpjDFixOaIbkRhe3Mb2/SGyfGqwXGCRG4TAu6aa/Hx6jlKPkcqXhP403ssSs8GlNjY5NpYe6rmwBuVB14X6o4bGk+VNLcBgG8NkC1exunhVICRoBdQIwwKajDykT0v7tn57Z2PvWRtPE0DVxwyAeE2sBZjaycA31I9RuQzKSFGDfLIxTefNDf8xtrwsqXul0Ld60LDu0KTyyyGWBQj1QSlRGFogxp2iIEMmrX/ggLZj0XICUbu51GvRY7amn32xi5bfZe13iU0dPEOl4BcguLmYBOabg6BUHZQvAZmhgAejYBFilvFfqv0nkW6yDuiTGOXVeysFDt46RyltumcrjLVZ1RDZjVkbT5V3fDy1sY3Ntedqj58xl7XZqk7ba47bqs/Xll7orr29Ib69qomjxW8JF0YRkZN6kVS7SPlINN0jqs9Lhx6g699k208ySodpOoxKAHGie1VFKRUD6d4bIpXkDqN9e8YGk6aGk9QDcf55hOc421afJsUT5rEU5T0rqHptEH0UC1Jk5owqlETxKx1MKiNVTpMik/vjBqcIVJx02IHXX+GO/iO/dDZjU2+DaCkixtQssKZLG/pMah9lNRragrq6tvX17eVN7ZtOHSq/snfvPnAt88uNPzX+EKAkWNwAEIRqFtvBiP/BNl0rmEj//znSx9ilPgJOPDyZ7jnE74Of/rcMPLyh5c++ujyhx999OFHVy5/BErWS1c+vHTlT1ewqPV915WGPc/ftflbewZjI3GE9+eGkazox0eAlEJGJW5SYhRE04E4XouPYtEnb4v8SWykloALi/GioJoAeUbMoMb1ao9B6WPkJM5d9vls30+DkRD4xwCrDjM19s/FTagHCG71fLmzp0KNkQrEAYMSHeQl4AvBIQdhkxxjUB+rXGRb3tc7u0ugj/qsDo+5GYbc0LzwGU++GDZSayutzbVQaR/ASBTgJT+nxNmWXiPqNqIkiJTkAAPyIT8DkYfwNhnZwyoBFqjIOI16sKLpggldNKELRqXXqMRBCq+EGZCwazSyH5hMWK60YMgbwSREYA/CwkEYia/cqK6EbISiDxwWUtDo8BsR9g4qQVrxsoqHHRR2DjgCNIYNk1omFDGo4MoigeeEXEHa1mc4H9JVaau26tz07Vydi2FtG3ZIcE6pUT2K/L1jI68fF8ASKz5WdFHNXUanb73TV64ESTnMQpo1vyB5NNocctVAXgQISRokIQFSQngAjMoQcPuwwMAbwU4BoN8hZGJw3bppC3zCRW2dGww29jEDcbMeGnlIWPwCtBNyBlAoRiuQisOiRu1qyCJ6GNlvUEJ4GYZIA6ygBmfNOjlU5ozocbCrxanF6P+tOei/gpH/MFjsS1zRG2Fk/5KJl4uIK5OugZEn5i1+ZufX17b8YY16we7w2B0esxhgpZBBDJWjcHlrRNfiIZ1n2OZfGx791nLbviX6u5fod87T7ZzDPLXmvh+RtSdJuYtsCeqdIT3IX6MMsII47+W1MJKXe83og2r191uUvqoDp7kHfrTKfmCBYeci3dbFhl0LhYfWPXjUVPcLWj7Nt3axzk5acdGQ9hDSreHcWj7IvwqsV7xGjtbUnijb5lxCPzxfd+9Cdn/Fwz8zSz6TmGCPXBSO9JINZyyNry/b2DCnfPsi444l5I4l1I7b2d3L6J3LyB3LyJ2LqHtmM09Pq/4aKUU2fvO/LGJig8O7pbnN/Pgvdbu+ebu5dp5uz5zyu+cY986kHp8pHLxj7w8qlbPVTr8Z+LQ4IweqVO/GxhMrqxwLyT1L2Xvm0zvmMjsWGnffrrv3dv3OJfrNC43b5xnvm28XzYff2Xa01wZKNjepnqXUM7TSbkQe+mjCpIQ40b1J6ag+9Grprq8vFOrnW9Hqh39lkELrUO96FNG3eMtb/WWtPqN8dt3Dz8+vqltA3b+QvgsfD84hH5+zuaW88S2D7CWBjUxWQboUcNpSsGh6a5o77jnw9v69EBu58/GXaaefVkPmARiJ6SzAgeD4s6GIHSU4KWJodJG1JwyPP7+qpmGFce86w/3r9Pct0923mH161e7vrHz0tXWNfv2R941HekkFQjy0PDc0yDu9LADILpx20s0in1EJ6WBOPivIr1U8+M+LTHsX6rYs1FfPM2yeQ+5ZcOc3Vj/zzlopskZJsq09m52xDXK0BsUsDe/M2yTPoR9cSO5abNyxlLprqenuxcZ7FxnvWWzatdi0cZGxZg6151aLuvapN6qPJoSWbtrZTcsRuu4M98RP1tr3raqo1hus68s3LCnfPZ988vYd/1yx73W6yWsWQ9VKpNoZ5WUwLw1He2mnx7D/xZJdh5ZzVbfr+WU6yxLjXQu5pjV7X6fU9yrQexWoj0JxYSBMw8ej04z4a1Z6mwc/steGXNb6367cJs6jHphTsXthZWP5o7/gD7670QGhp5BtpTXEtITZ2nPsw6/Sd3/ndvbxeaYds9ltMy2PLr3rG+uf/LW+4QzX0sm1nDPKnUYlZBAjdHOkRglW1b21bmfrYv6hRaVbF5dsWKi/a5bx3mn8/nn3fXfd4ddN6BytdHGKB+cyCFIKrM5bHZ7HGs48sufFvTu/vfPRl6yN79CqV6cGTQrYaUOZbxnZRyou5llXhfiOUTppQceMT/7Lys0HFpF3LaHuWqjfNdd4z1zz04u2fK3skWOCHOKOJBg1wmA7Sst7rGlZeTFgVcIWBCE/Vc4Y2+ixODw1jtPUoz9cu8WxhH5ksW7vIt0jC/WPL2QP3r61peyJF3mpg3fGeSXGowBYiSAYBsVTRUOHsdkjKHGzGK+So1uUQNneH82tPrSwqv723d821r3BtHbo1S694qp5LrRFfrdkS+My05Y11M7VpgeWm/YuJR9ZrL9nkW7bUsOdywx3LdPvvV1oqHj8VYPoJVU/p3pYyc+JAdPB4+v3fH95zeFFxrsW63YsMt61zLavYu93jIeOMSho+9rvKKXPhMLg2VHP1rScMu77wUx+72xq91xyx1zj1oXkjoXszgXsznnMrrnMPXO5R6azTy168IfGFpeuxV/hDBicfpPTZVI7jC2dRkiJHGEVt/GZX5fc+09LLU8sKL93hekwd/cLlQfO2OQQ6YwZWhKmlhgvtun2PL+4RplF7bvN8PhM05PLKh7aUHKnuorrXHD7pSkF18NIiI184cNLl68Vtf7lBhh5+dNg5H87G3np8l8+xDDyoyEY+dFHlwFG/nE4jLx7EEZqMgMOOA0vtqdvjs0GI3SH/dUR4MQQI0ZIKcq0dPOtSaElam6J8irOU4ogydJAnuKb26nXsS7XWM+Q/gTcmZAYjZbDpBKhWuPk0aTpSJw+muCdOJ4YVKPDyqOdf3xIlVYYzFNdm2gHwrH8OMoOkgSQyG9AER3qwdLt84zzvNBy3tzaxzsTOPkvZGnjgFL3UqB3hdytbHPAJsernN2CM17ekljhjJUqflbq4B1dvOgzQ9jeDeW8seSDV754GKkhW7+AvJTYaZK7KNXHtUSFo72UkjBIYRNADj8kPQNBf4BEfqYlxLaEKMnHK2GbM2lXe2xqn9XZLzgvCM7znNpHOs/r1PN6tc+gxEklyGClJdBcOD8eznAzHElq8dyYihymZb0pD4mTdvppB3hMORQxNgU5Z4/5uYtkS7epNWEAnQNEbGKHGeT+1pI8mZ0BTvbQspt1Bo1qwqCeZ9VuC3BfOC4Id3UtQhL3+aEcZde/pv8hMJJHXkZ0mURPxZGe1c9e0LV2m50hmzNgUb2s1MnIOCEhhI9fhZFaOn7whsgwQmmUEJzdQktCcEYsrRFOjdIQJxDGgZGf29OBMxZqr09LW6Wlp/JgeZuLUjwG2Uu1Rtmj0Bn41kjlc0lLS7TqaNLqDFGNbViEHKAhDDhCoqhJjpqUONXarVdj5NEeiCBCYa41NpjK/2Pfzk2G/+AgGvrTVzDyS4yu/mGKfiOM7Fsy8S/DYeR44spgip21LX9YOwgjBYdfkCNkU4BRouZno6z0Nlf3/MptT95yhzG9aBqRNppIySVSsomsCcVLLPOrmu545CWd2FXeEilVozqYBG6EkVEBxQQELOIGJVB56NjqyoaZK6wjRk8hMkYQKWlEWhaRW3zLMmqRbd8d932fbDhOS2204qHAyoRIOZylAxJdcHKiUgpbn35Tt9kxZW5ZRs54IrWAyJox9vbdZY++SkoxurWfP5IwHn7D9Oi3i2aVphAjUlOyUtOzifTstOz8tBF5qZk5aVl5RNZoInsBMWtn2YH2Td/4/6xicFP9Cfruf5q/ftukGety8qcQRB5BZBNpo4gRk4jcGcUra5ZtVXRPv8KrQRNKmJq9dvGM+YkfjJmvI7LHEBm5BH4ENAuRTRAZUKmUbCJlQuoEmrr/F3cf6a+E8DMv4zzHKO8yyjkj8tPPXmBa+qwoXF33hn6bNHoOSYycQxSvKah48o79J9dLPWvFiKHFb0DtJYdeWb5bHb/aSoyZSmTkEBlQHSI1l0gpIiaun79BXfvUa+XNHl5NVKI4L0UoBBlESMVf3dx574ETB/b+rHbXd3c+/jKDYaSl2V8J8WBuASb5DpwRxGdVolVK3Opwm558ee0Wx4LS6uJbFmZnjstIGZmRkkcQuUTm+KKZholr75uz4ZtlBzoZtYdEMUEGmahFctOQPtdtAuTfxUNueRePPEbZr5NcXNMrxvvqpi4nidQigkgntH8pOelT1o437J++84XFz7jolvPVR/qtck8VSpj3/zRz5ioivYBIzSZSRhAZo4iUPHzkQzFSU4gUgkgrICbyC3c/L7TGLc9etLT0M8+cLtv69dtLdo0dPTMnNTMnhcgj0tOIrPT0sUWzSqeanrj9vp9SDW6rHGMdIR5FuSPdOslV8tB3llBbJs2enZ6VQuDCpRDZRNZt49Y/vOapN9Y0eNaDqjNqBcUNTgmD3iUdvxVa3JQUJRu7qtBp3QNo5Nzbiex8gsgixswbp3907d5fmJtDdLOHRZ0WZxtd+5v1dz67qPyBiTPKicwxREoWkZ5F5BTnTi+/Rb93/s5/1tW9zinnKLD9oowUFZq925Qz9APPFs0vScmHFkshUjLTc1KIHGLEhMz57K3CM2sefcHUcAqi/sAuAtkaI4W2YRj5KIaRu66HkbCBCsivIE2ol1Rclq/7KflYxf7vlt57cK6eyZ88nUjLI9ILiZRR0OfzJqdO0U2iGyxSu9kZ5HFao6sYEvu+YfdRJWKWw4wjWnn0grmxndv3E93OhlnrmPwpc4jMAnhZRD5BFBIZkzKn3DG+YueS3V831L5rbQmbFU0SBfnwGSWoF2FxJ5GfU7xV4in7U/86R1+TdstUonB6+lzb0gd+QDu7KkTwK21uabc//sPJs9dnpGSmpmSmpOdD98goIogcgkgjUjKJ1ByoQtHy+bu+uVZyVShBRnRVOs7Qj/7bcvO+acuEwvEz0zPzMtKzUtJzRoyeOvF2YSZbW/7Em/Yj501StwklKdlvU07vaHl5/baHifwieFlp6URKOpGaSWRlE5kjiMxsIiOfyJxEZC8YTz5pbH5Lr7RXOL26Fr+hxVfR6ik/4jYeCfDOoOXwG6Ubm2evYHMKxhNEdkbm9FnLd5du/95GxcerAQG5K5veJu9yzruDzx4/n8iaSKQVE2njM4nCGUSmnSBOTy766Nbsa0StAyl2Xrj8ZYeRH310BROSH3145cPL18DIfx9iI/9aGBnCsX9xRgZwZZa9TMM5/YG32cYOC86QyUJg8RAyvN46HzLycGZkLShRox20jUGxthainCEVJ4X8lOKhpA5j46mKw7/RHX7V2HCWlRJYvX3NL2tG/yewK8PiuDTZLVZsggTCZ5E6rdI5DnUZlBBkD2u5CBrrpiB3+Jzt4Nv2Q6ds9W0QiwK2bxhiQsCf1ykgl0V2V4nt9rq3zPt/ST7xwpqDx5ejyFpnyODsohXIJow3yPocnM8XDCMHdvLhQbnaVd78boXzrEE6Zag7xjacMh48VV7bRqpR1hnmII8LxLiakN/kDEHoiNRlbjxjOXzcvP9189Ov80+/ST19gnvmNF/baWyKlKnvlTrfL1P6ILwBJ/41g/4hhNOdQVTM4KGlcAgNREIOi4e8kYfEcAUy2lMOP4MiVmfSKkUt9T7+UGfZwY71jqDuSEKngvLWMszVSiGfudVnReeEuteofT9f9+Tx1QdDxqaoBVLGa+Jb8JhgLStMkVru+2F98mqn0qIxYVIeTkVqcpEvjI0E2dI1B0QwcshPq2Hd0fNrnBfKGjqYZ14h9//SVPtbRjpDgeDKg7l0DUaGGSnEgrMDcs1TcpSSEoyYpBr8hoPv6g68UXH4mL6pk4SYlijk6MNZbW5a/U+4qMEzAK4ge/ZCjngEkUiU4qZUn0H2ckdjlmeDhvq36fq32Lo32LpTFtFtVvw0jr+1Sm4QsqIACWm7Q5zoow+fpQ6doeo61td71qI49WwPZHICbvkrGPkPA6f+USs6BCP/DC3w4ZVTr/Uunfjn62DksNhIDUaCqNXht0oRvsFXhYJbW73ko99fWfNQwYx5qfn5RE5BTuEt+QXFIzKy0oiU9PxxIyavGFOyd8nDPy+RfLrWpA4SSNwoak0IKGlGAYt0mn7qh0vNDxbeujg7vxjwAEHk5uVkjhhBECmjCibljF9ZtGzn+gd/bGo4heO+AjicPkFDBGOchJSMfRulrrKt0m0LysYWFWenpqQRRAqRS2TNn2lxCs64SU3Qio85/MtVG57IHX3bCCK9cET+qPyx+aMmZudPGFEwYUTBuBEF47IKJmeOWlWw/AndU2fMqHtrq3dH3U8Xl1Tn5k8YkZ49MjUlLye3oHB0fsHotLRcIjUno3AqMXbxOOrRdU+/Xlrv55WQUPvb9dsPFEyfqdUiNT01O3/0iNHjM0aPH1E0LrdwfN6oW0YWzi+abmfvfXGHHLJryf1VF4fOcugcqQaNzj6+tbdS9uh2f23qIjY1exyRkkPk3kbM4Bfv/QV99D292k2rHsOBX86xPD5qzuqMwmLAFGlEVk52VnY2gCmCSMsan3Or8Rb20JLHfsE5/TYV9s9gQASUIFGkutl1z4HjB/b+pG7Xd3Y9/qvhMNImuTFt2A77KyheTglaJLf1mVfW2p6aNGv52OIJo/Lyc0cUZeUU5hWMG1lQlJaampVdNLJ4Vs4U4xwWsXUuWu3h5DBsmCFBUjqT4tY5PQZQWsK2HwLkNvNQzWd098rTFi7NyhlFEFlZeQWjiovzC3IzUgkiPTeteEnG7M0TN/zQKMVYtZdVLlQqyZqnvzt6ygSCIFKJtMwRBdmjJucUTc4dPXFk0bT8UbeNKhw/qnB0TuHE3Hmblt//U5Mcsh3trXK4SzY9O32+ZVT+lJFpI0ak52TmjSnIKyzMzCokiPzskalFswvWP2qsPctKcV2tz6aGNz4bXHnfd25dZbll4i252Wkp6em5ufkTRo0pzslNI1JTimYXG++f8+CP1kguUglbId1rQJA9PGqj5XeFo90m6YKpoXOD/Nryyp2ZY0cCOoYaZRMT1szd8V2+tZ9CIYvzXLX4y9Wbnpy0uGJU8YzMzMKc3IKionE52flZKWk5mYXpxXOz5gtztz9LNZxmRB+PopXOyAa5fXvDL1fQd2YWFGWkEyOysgpHjZ40Kn8ERrmpeeOyJq2cpNu75sF/syheXg1Dagk1xkih7Q7P4w1nHn0Q2Mhdj75kbzjNXGUjYb3jpACHkxfQyF35T36u7qeL7PeMW7Bw1LjCrKxUGIm5xfn5k3OzizIAUhanzTCWPfYCRGPBBjmQr1XbeRVzGDitjhgg6zy6hpj5yO+sjW8vs+0tnrkgp7AgLSudSCNy8keNKh6fm5efkZFJZBcQY6am3loxZ8OzVO1JztEJu/hAtGQYdrk7EqFavUa1nXee5p/5wZxy67jbJmfnpRLpmUTerFuszbZnI+UNnRbFW93w2/VV+yaOu62AIDJTiJScEWn5o7IKx+WMmZBTPCF3LHymFU3InFG26KHvrlW79GqAb2qreuaF5aat42+ZP2bk2Ly0tLyMlOL8zExw9aSm5Y5PG7P2lopa0zOnSUfYJPXRYk+14/S22n9ZaWJTM4iszJSc/LycwuKs0ZOyxt6SNWZizuiJIwunjCycP3JMyTzmkFD3Bit1mJwBnTNY3hIqORosOeo1tXiEhlPG7UcXLREmFU3Ixr0jhcjMLlg8rfyJTeK5Hc+FNx1+1by9ccG8OyaOKkzPyCCysoicvJzCcbeOLlxMENUE8VYR8eEknKZVy9SKU+y8g9nI/w0wEiPJIRg5kGKnYc/ng5Ga/lDDYJrNDao5FCPlGAnpMc8ZHvrxDL5pQunBeZu/z9R18ZCLJcRiKvwTI68gaa+2GyGO4sWckuQFRyAYlxDzagDtoseCzpY8+P3Z/FO3lG6duHbD1EpUUetmQbg8EPKnlXBID3BT8xdL/jStJgRx4WxAA7QkJ/tsUmel4yyLfOXO7nXOvvIjfawaKH3w3+eT++at2T1n7f2rqlrMB09wks8I8ZBRUglgDNlVpXTubn2ndHvT9JXc9JXUNP6ZeQ/9dq3srzgSNKgBRgnBBgZY2jpUyJsWb+jiFwkjcXPh5Le8HCIdnXrlrP7ISWP9i8u21E8tu28WV7fsnhdNUkg4khxg9hQfrfpJSNXdYal/y/Tgd1eY909ftWX6sprblm2cvGzrtFX3zzXU3r7jx6X17vVSYh3qMTljHHJbZJdV8kDeVCmGAX90MMGPllBe215yIKfOjTzkUOQtTF5ShJRiFIrbUHRzs2el7etTlz0yvrx++q7ndcijVyE5mB30+vA2jUpQrwZo1CY0/KZ8p2Paysrxy3aPI5+dv/vXdKMP++QCFtgQGWCkBlFwtrer0HHoRQydgHtiEDoO4MkvTNSq9dLhMBKGBnD7fkbyk3Jw8UOvTuUO3bqmauKK6sns06uf/IVedhkggfCAkJiRQjQcYRrnaSThdcfMDb6lW384UX9g3Lp7i8vum7H9X0rr3EYcXUADkvyk6g+1w/ATrGgd2LET7wTjoRQv5P5WgjSkyfZbWjxC07FlO1tmsI9PWrntNtO+Nff+K9PwLt8SEGQ3zpnuoRU/JXssiqeq/u1FTPO0Ox6Ztv7pGZu+u7LBZTiSoMB9G+AUSCaO80L9tazpDftGfpWp9R8Vr/0PrbcGI//zCkSeaDCye+nEP40mrtyCda3jiSvjiSvDYKQmarWBqDVocUTszcGtkmdH04ll3MNFty0k0jALNP62eYbtq3SbZ9y2JDtNY5bSidFLR5v2L33sN3olqENhStOySmGcWQfPzKibRd12pcve+NNF5juLZkzXoBdBpKSPGDX79jXjpi9KAVohNY0oIPKWzDfXl+17hVG8JpBEgnzdhOJGlDDKFxipf4t4fFGFbURObkEqkB0jCSITfm7sZMMztqPdpDNhPuLjnv7+3BIuJS2vMHvCgjlld5RuW8c+spR6ZBHz8EJm70J6zyL6sflU3eqNPxQOdgnNvp3OU/2HOFEAACAASURBVNufOnLL1LkpYKynjikYs3SlroTdtrLEXFg4lSBSMlPTwXCduWpqDVq1793NX++11r46w7Aha0L+ABgeP2HWevtc4d4ZtgcXWPeuEB5ewz+2mntqhaXBuu9XGyCDtFeAPSp8AiRs76JQgG9N8o5240M/WlixKy9/Spr2Q2mjiOKVy/f+ZNN3/l/hSA/beOqObY2FM5akZmSmAmBOITJzpy9dM2X+iozM7HQobRqRPiZ90sqxtgMVda+ZJbdZTnBSP6QPlZM1zZ6Pg5F2SNoHGUcZ5DYpPuFo2K6cW7vx4KRb5+VkpGUSRFpGekbR7HHzqZXMfcvKzZm5uSlAsxKZaQUTZjJl975AwWuNWSHTJqT3pJBPp/r1qh+yBiIPzsDZTj/988mL9aNyMsFhkD1lxh2crubuZetK8rMzAAMT6UT6bZmLdy976NXS5gjl/KASJTY92jp10gjgBlPzx81YP7ti1yLh4cWWh1fwT61h9pcyD5QzO5bSDyyoQev3HeOPxDcf8dL3fXPu7UJR3oQUIiUlJTuzePHUku3zSmsm3zpvfEbKGI3/nM6Y6t7mWntNTf5Kqd124CczSjbkFxSPhDZNSSm8dfYKhqLuXL1wRS6+P3XC9MKSO1fVvkmqYU6KWOSQBUI8XIziI1EvKb9vlbpsB34wbV0ZYMiUwSN14kRbK/Pc/yM811vT8rb1MWXKgkXp2TkEQWTkFC5YYdKzO+bMLx2bVTgaqp9G5E3Nu2P3modfoZrAP14td25z/Nb2gDxh2mKCILJSRkyeuXgFtWl1ibEoKzsPqFK4nFG86Bb9o2bHGcgICgzEAIx84hoY+c61MBJc2zg0DFJ1bHZ2rt1UVzh1TlpWaloKkZaSQqTlzVrMlFJ7ly83jyuCPk/kjB5veJA5eNreDHsqQqbWQSQJNIYc4hx+st6jb0qan/1g3b3fGDNrITg2wAGQRmTmTb/DuN62a+6qssKxY7SuTaSNyV24ccm2r9P1pyE9PogLYiwKMxDU2sZIb1qbXird+tiIojG5WQT0NvhXMN60f+e336Ma/BudoZqDP19m3DppVFEhQWSlp+bNWzqp1DKHuWuB+f7F9gdWbn5kcfWDtwoPzL5TXNv0atnRLu6oz17/ZlnVo2PGTcwCbjQzJyXnlkmTl65aVDhxFJ7TUgmiKL24ZOX2b5L1HfrGHlPD+ara4/Z7ayfddltGGjFh8vjZq0qXcDvn2h6bbnlkhnnvAm7PSuahFeSTay2Sec9LG2vP2R0BGvbjiZcdSZQciehafbx0umL31xet3Dwud0oB1icMsPAZ4wuXbKupPf7Ud3sr75SXTFs4JSuzUKtofl7ewuXLhI2k0bQmO7OGIE6NIz665SsY+YmiVtiPHhODkBYZgF+IRGEjgigmo3jWfOCFuRU70opXE4V0cXmzcX8bL0fxFoIBToGtloZbn8POgavkIMOkh4bJ2s1Kbgj7VmAPWUoJ6NRgqRquUEOM1F7T+Nsl1P3Z42YT2UVERn7KNHrOnf9OO7SEQBosCeNtebWtlm9uE7MQEuCBZNnAnFyFkThUAGLMbJKHQt0l6gclkGmt09rwqzm67VmjpqcQo4i0iaNnsqV3f48R3XoUroAgXQjmNstdVUrbg8+9taCiGnsxiKxxi8eU7V/xxBu61pjeGaeUKKtGBhLJYM36sBa4eTm/IBiJQWyIAx0jHBwkag+wrW2U9Mvy+5smLa4gMifkTKPnVR01Nvu4lqTGA5N4zyWr2GZ46IWlwqG5a7dMnLYKZCqgTMiBwZ4yNj1n0dhFGxdvObLisVdKJJ+pJUIhL49wICLE70U5APwajISXpW0xMoBDPiY1K4ejTyH1KOT+6TZJPTRKVjk8Ow6/MW3+JoKYSBTcMXLlvSv2vEBDnhi8YTS4Hvx6NVTuDOqb32GfeXEFuQMXspAo0hXc8UzJQReHui1S1CqFcYom2FsCE56QM1Z7LxrUH/6p+Sb+22AkpMlBgG+1bS2BNJb9HISwevj6M9zTv5xu3JMxbi6RmUtkFBO3UfN2f7esya2TgyYZ9tLkpBAjhUgpZJIiJjlOylFGDNqbO237X5u4cjcxejkx4lZi5IysJdvm3/czveQyOt0mcG9rG2ffvEN+XI/FrTTgCaIhB0DAqIQh0aLSDRR98+vUQ89OXm3JmLiAIIqIUYvHr7t7zZ7nTbD5mxen1PfhyFtPpdK2q+HXk2cJBDEpJW161kz7lK1fL204Z5JCtBJnlRgHiRP+yiDJr0St/0OR01fFGtYCfy2MhBAywRGpVuK7nZ5t+38yczkHgi6w69NSZpeY9v24av8L5banJk6ZBRQGXC9KvVU3reZIRd2ZCoePkiGtjhmFzSgEuZGVMKP2UKjbLr9r3/+NSUuWZ+UOfI8YUTxusVCyvWkh91DhmJnj01JHgB06unC+ZcGOr9FSh0mJ4BQJiQolVu5MGNXznBjf3vSzmcsWZWcQowhiHEGMx9MxkVI0gztMQebDmPmIi3pQvHX2LIJIHzXhjlXM08LDL25uPmtv7jQ3w3bNlua2SkdnZX175cG2qia/ubF9p+Pl6rufHFVUnEYQmdnj5q7ZwD3wz1saXrbt/cacZdac3MJsDBOI/FEjV21e9vBrd36r3374ldELy9Py04GGSkktWGJafe93qOaTJGrjla4q2bUZtdc0HecOvWKVjpudZ0jpnEXx2yFqJsooUU4JbHnWL+z7tzkVW8bdOn9E2giMEAiCGEGMXrx6z/Pb/uX/CHKAfOInM9db0rOzMGIk0rPHjJlDUnc712+pHzd3dUrGgHVKEBnpy+ml9zzLN5yyyjFe7Kel84yc3PDxMBLnOIVd+ygUMCgh29dim46embnOnJVCZGGekxg5dsTi6rlbnq1B7whPfrtwzvLMHChkDkHk5kyYWvoYrH0t3QLyQkozyGwXMkG67JBRCdCQXLd9Q9Nbuu0ykZkPvScrP3eBvWLP93e1njLfj26duagoO2cE2DfZxOjbi0yHVzf6TC0fVCvddz6szpuYAf0qY+rUikdWP/ySsfG0qfldrqG9uq5r8+FT2w8fsx0+Zqg9bmhutx7xb2n81e2l9tGjxmUBgMkmChYVlj+55pnjpft+tcDy2G2Tp07SeultFfqDr1ItEcrRaa9/dQV/d8G4W7IwME4vmDJi+c61D/zb7qbjlduenjllck42LsDIWcsefgE2Y4OtLyIChORAbh4GdZvlhP3wb9dUPVowdYb28/gzhUgdN0lQS6SL1ud6tyi/Ka++Ky8Xjx2CSB8zi7vPeb/0immLY/6ckvFpGbkpKUTOKGJiyQTLs6YmD4+CG8RTWw/+4A7ThhE5IOUtGLdyuf0AX/sTcm/LzBWGMaOL8zWcRmSm3VpuOvAyI3eRKGxSYqwc3u7wfAKMhMwgYKzCFnrVUteuphOL1m4iiLSBoZhRkDW5ZN32I3eJJ2se+PriZWxefgGRkZo+dd2S7T8yN3jsUghvLAkpdiAhMwpxDp9NjdidMUaO244kZpIPEpkDNSVyi0fOLF99F6p2/Lzinsbpqw0jRuakEERqehZRsGiS/jG27m0LbAyWZOUkhSKs6hXQyZqGn1nvF6cvvCMFxgB0Qvwvb4rh6V3/3GdrDu9sDVc/9oMZC9cXZmbid507QX/36j3fpWqPkfVvsc0nNvxTFyef0jUdp1o7y1o7yp/tqHyug3noe9Pmr03FPziCGD9qzOo7hEfMD9TPKCEzRo/GSDKNSCsYc/umNQ//2tDcbWzq3Vj7W7LyrvTMrJS09OkrTXdsbrQ0HKPEtpKG06VNpwx1J/hDx83739ra3HmXEtvWFKtq6mYdvXqlv6y1V98SEdSu6kM/X16xa/KkZdlErkYjD4LiW4uW37nx8IkD/9JTUbFtMp7BYOBn5uXNWzP/zgOV8gt3PoksS1ftzM5+Z1LalcmpIGodO5hiZwzxv5KNHEyx03Wl8cF//1yxkTRkgvYbFJ8Rdhr10UoQOB9ngGppIxteWmG/J3f0RFBXF+hmmr/GHPbzkFo3QqEAjQOLP8YMBf06RDZDNu0ORu2ixQ5BclUfCbPIQx0Jr1d8q2WvDvmY2mPGncqEW5dk4HkkJT2FyJmRvfJRuuEcByF8QLZwsAlylERhEu89eNMnMpBw2WVSXCQuFd7XEdJnmxS/ATZ+jTJKt0H9Q5nyHybJJ9T/tGzbQ3nFE9NSUvDoTcvImzbN9ATZ1G6AYIawCVKA+jjZZVPO3Xf09SX6qvQMcNrBEBi1fDonGeq6+CO9tDNOKhES7w6Pt7j9dEv9i4CRg9wRYAy8W2AIgljUqB2dJB9qmbpMn55dQKTmFc8V1t39fdiCTI2RKGRAQYPotjSf2VL76rzS+9JGzsnIHpuZPriGDswdRCaRmzliXOG05ZNND6x75mWj06VXvaQT0rrAxvfa5p+Q2WUIQw7ANsy8aeLnAAfxDBrpBE0ETgElREISYNhxiJJ6rHJ0W/Opmgeeu2XiIuxSzE8tXDTNuL9S9trkiFUMCeDA8xmUYIUaouS26sZXK8z3ZqVmgAaLACS59InTFOq3wO7McRuKcWKIhVLBxqRQSAzyhwC/dqLhzP9ONnIIRkL6PtivCTbAZNVgteKqeeaVispHJkyZNjDNZRRlzrJU7HvNJEf0ctQkRxgpwolhWgpBYj0U1aEEjSJW0VV9+NdrK5/OHD0rBaIRMiFQJ2/BeK6JUSG+XAc5byASQ0uHe9Ox83EX8TaegMYZvEAaUJJRLtiV/o2O05VPfmM1tzWncGxqBtaJpBUQo+bN3SALrSEKo3e84ViCQX67evbu5pdmzSlLh0kkPTW9OPW2skV3fktf5zZJSUrpZZQEDvX89LFzYzm/gpHD0MpXp/9DW+Dzwsi1CqTYqWyGfTVYMWZr6d19xG25r2XmgtUDk0NaXuriSsHZVeX0mJ96qUS4OwMkpQRmlcbfxjxNN5ysaPKQACOjFjlsQbDrBu8MU609RjVhcZxg7m+eOGN2VuoA70bcUrrs3h8Ya9/UP/HC0oqacdlpQEIR6UTu9An0vvJDb9LOmElNVsix9Wq05GiMfS7J17/D3N9QfNvokZnEaPD8EZM0GJk2cqpw2HC0v6wlaT7SXrF1T0EOQKysW8nFVUepw2ftR/o558X/n723Dm8ry7NFtxgsmZnZjjlmBll4jlhmShyHmRkcxyDpgGRIUpCq6oKuLuZOcSpVnU4q6BhkgdkOVAoa5t2eefd979663z6yU6me6pnuP6Zn7nTp0+fYMeico332/q291m8txPI12v+tgnyAWr9SkTNaDEbYG3pvrOl6Tdm0kcn1hpRjtFi05w1Fz00t4WgyXSmuPxEamwFZODfjFJCVuv7ltY/Pyre9wPRJgRgSAEATsgs2rDxwTXn2j/LBbyWWb2UDv0cG78mtE9X4VQl5WWq5KjZdr7FONpILqOmOgvyqod/e3PVWRd0WYWAogwG5TshYwQcD+KaUb395zdN/0vXckm4+E56SBV+B+pYgTlKx+aVa07Cq62Lpqk5eYJD7d+BhRCZGq3aqTnxswO1K84wcm0OwqQYoav3i2I43utb+Yu3eR3sjHXozjFZXQ+wHUxlVA84G6xfxhWLOwwo+ODuq5UzxqVvKs3frBm4UtB4LTkjiUiCTBgAnUpG19SOYBgET1JxLIUzmSRSfVBAOxDysM11a3fWmRLfVffCsiOyk5seqeyfUg/dqTn0hbz2eELOC6X4tlh9IqsntvCnC7jVb727eO5gVQg0EfkaEvn/lsdEi/KsS8kEV8ZUCv680LWiwWdQyJ7VOS/FxjfGSanOfn58fyw19uWG8vE05h6+UWL8tIRdF3ZeK0U3hPF8AGLQoScWhd+SWcR15TXfwaa9wuORRimjgnV0XvfGdKuJO7dC91T3v6ZrXh4aHw0NjxRdvfhHFHBJ8kcqfhObtKnK63uJo7v1C3NYdEJ0NO+UoPSskxQEbMAJjNIQI+7rx9MKqU28UVtcs4T7ABH45hpPvb3lu3tD9OdJ2KtQ3lAcAg0ED7HBa7rbSU9dUVkd7/2/0m0/5h8XBi+aZHiXpKj/6uah/rPjUJ5JjL0aXathsDo1OQdyAbMmRN1BsWA7rxkdg5HJvJCVqdTu1OpbcJQm7gvIFXI1fX3/o5bTUyuVxBQUF0TWYwjisH5xRn/xIvKYrJSsXHjkzwKvyqOT4FT3u0OEuCkPaqcwtu9oEYWSt1aXFRpuIK8kVtUtDEdBBYG7GKqu4+3PV4Kii+8PKDcaIhBUMALjwDvLnpdcrT35WS0xrjAuIeVFscmr6x+rxT5p39lfkK4QMDkVTw+Zi6iGMrty/tn+moXdic/9487ZBH68ASJXD7wUGV3cX7fmtAr8rJe9LyPuq07+XQ2Oku+KB+yXWyVLLsIG8VNXW6+cbwwU0OvAArNzI8k5D94024npRa59/Uj5gAHg5uQB4Jq1Y/QJqmUctk2tM7xRUSOEr0D3Dy9flbHkTtS5WW78us9yrHLpXTi5UYnMSbFJtnaolZmr7ZrR9dxDjV1Lsawl5V0vam3ouII3HI4NSBFw/GjVtuM8E3sMeUV45a5u6Lnc+d6+ssi6AElPQGB6ssPyc9f3V5OXq0yMdlotHthhPxCRfjfL5PowJYaTbVfu/r6j1//3++///+//9/Te3v+/d9srGlnM7KKfWf7s3EvaGQR7SJibHqeeYlBhXkDaFZQy1XFcZ38lvPygMi2TBiZML/KSF697UGWdVMOJmSkHY3YDtX9d21P9MqLExJYyFHVbgtxXkKAJbvUd1VocMG5MPTlZYJyrxYaX5SvXWx4MSKpk0jifVSs9gAMAMBhE6yZGPVcSECpvWmOZV0D50Rgo3RB0oTqXlUKXq8ktDrgnFx+TEsIy4DY8Kqs9d0L8Hd4gJZ2X/TLnlbgX+QEx+KzPOqE+8J113wC82mhL9L40rQBfyknXS7muodVoOe+IpC1N8TEfc6Oi/WNqwNzAikVLsADoQeETIClqf0/SMKC1TMnJKijtl0OYUOmc+gqZ+MHdePk5YKP9HwUgIZaFfkRpzUs0DTrT3tuHgS3miOhpTAACXH5iTjh5WdV5ALQ6ZZVIGNwsm1f3TbcZLOzp/lZ4hYwEuA07D1GpMZ8EOZhY8Y6Z7R4pB44YlxWn3Fh18vdJ0XWyBKbSUiQskPx856yU2kjplyGW5BZwqs9smBzLMSnxSgU1KCbf3wJSiz6k+dbuh61LdrqdS8hEBj+NBLWl0IIjIaW822Wqwaeol7CpsXIHbZbA7d7QZu6Jdi0WHpYZyeBD4chPjN70qNjm12Jwem9fhc0rTtBKbUZunqXhfKP1/1ODU/TmEwZhLA5deyj77YYfkf6SoFfbTYjYqKAyKoqW4XWmxdVhvNG8/Gx+b6M+BaiUajcEOzIyWHdcbh1FsUg57IJ2oeUoJQ3inYIgc4RTjDi0+2tz3RfXqXs+wFAaLzaa53zwGAEGCovUG6zDSP1l68pbcOK6FcqC/QTXqJmyhdxS0j5pU47MKfF5OLOqIu/W9E42HXy9Wr/IPieAx4BIDFxLoY+EVodivG5iUUe6sKNw2XkAgB3K9tff1leXaQE/PAGosARrfK6Muf+u75SfGJNiinFhQ4rNKSGj/zQk6P8PI/6LI6efDeuQKPISR/wL/E/ZG/tui1hLifq1xrL5vrAYGfsyorIutxJfi1sMJyWlu1R6g+9IzV6uH5tRDC5q+L3VbrAKuD4tq2QKAF1a+turge9V9Njk2o8FhEo8et2lxmwIbr8ScYsuUwfx5efPBwLBYimegQ9VJSmtx36jI4tJgV6ta9nt6PCTX/PwrN5ft/7XGOisjFipMU4WYo3TQpu2/Kto8EJpZDDhwgfAE9BAAQtx3N0MYpjkheexB1eCcznq5ur5NSK2x9Bg0reUJ1DhSc/q+pv+e0vIVavm2Gv+6krhfSU5XEyNy8219342O7nfkTXuAVxLwzmBVHi4zOyuI++jA181DztIOIiglHxIG7kXbKzll9TPt/aNVqwYBI4pat5iAEc0vP5F9bEZ99l9Q8p4Ivy8a/EPF0IMii6uYHC0jb4mIEZl5nMqcmEOMMOa+7tRnZbrNYTHx7n1iNwPjPmTgm1y59eV1z/x/db3D0rVY5Iq0pXLBIzpS0anEJhHLImIe1Rx6zjc+BX6LTj2Ffr4FzcjBXxugNdE4jHMklpxaj+14q2vts4/CyBrMqaNiqJXYrAy/K8bvoBZHPXkxrlDspj3hYhglT9/162J8tnLom7onF7THXksqVtGXKngAPHPiW54vO35Lhk0pcJgxqDVP6U0uHTapwu2o6Zq29+O2Q08WlyDUEdJ5aaq8fZ8Vm+8X498hRnvT0TdSsqohHIXfZoHgsqQd71f0TjeRc+1biIwg6t0T5kc3Pp153FWAfVdEfFdGfF1F3Cs33ynD7lZavxFZ70uxcc2p9yvrNrk1s4DGAvy00ManyvH5EuKbkv7vpIN30T2vZBe3AGESiDVUHXlfZR2pxT+TbTjFEUCaCAIyGi+oeu/KzvGS/t9VWu7WEjdajjwXno7SeMm8UES774N6YkqOzUuIaRk5oSDsDYOuDuJzzbruuORCFgN2qMI/Q+MDuhCOREZQosaMkg86Hluo3/VUei5Kp1HwEvgCn3JV1+ctzz6Qk+Paw7+KSMynuw8AcEGcNm3PW1LsZiv5UXXTdhpHAN/VGEXy+ndLTFOlQ7N5VrvkCfvKjVZBVB7dJw4IwngpWp3popoYpdhIaLGzxEYuwci3a7q/RKncSCkBvRvhk7TDhA/Cvo641LbZlBi1Ah47fAhAtCb34AXRwJ0SYq7U9KXsxAvFIhQeBGAycttzd72Jmsc0lklqB9zu1jRpzDYt7tAT47Xmy2uwX2eUyN1/C76l0UjV0Q/FpL16cE5KjGpPvrsiV8yiKm0A+Ix4FO26aLDOI70LCHZHZnboiSuag08VFGoSuT6+8JpQHPsS0S6IKt+7tn+yoWd4M/ll68YeHzbsq6UeUTGSs6J94zUD/6Qe/H9Epm+kxD8pyH+uNv+xmvx91eBXlQMujfGzqqZTAf4ZPOANeBms+I6EVe/q+v+pnrhTuvoX4RlyQAOUXB0AfkRs8zNSwq4cGF5r+lVmTh58CVpQSPW+vIOXFUO/q7Z+V0Hel579umLg62LL18XkfBnpkGB2pdGJmhbkxq8U5q90xHyL8TKyujcmIscLThgMAOXhED9SGxY0wI4Urlxbd+rS0Rfv5Ymb4E/QmBy/rIDCrSrjrYqzD7IG79WS473HXiOyqkfjIr4PYy9RkUHg+/++MPJ/wvXpf3//7d8CI93wRgl9h8ekpE1MTkgJG0KMarFLms6Xy9v2BSSmLs/afiAILd36ngGfVWGz0NsDd8hhPtVfyqKEkaZqbFSNjSoxuwJzIqRLbnFIsAk5OYkMzUv7nfLeC1XbB+JK1IDuwaC2APlQkwIAMwj4iir3vqMbcOosC3rsnhJblOOzD2EktDn+EYx0E1xU7B7kPyeoyKw5pXlWgU9XkdOl1tliy33p4B+rO29kt5DZyvbotBT3DULN+hR6YvJBUJms55ru9AJKOhWEHSXtCmJMTQ43919V7DqXh671DYxeYvnZIWErGrMbzlSduCwnXHLLtBR3KTDnfyaMhNsBLoSA84vBPKbvuSra9lKBYnOgfwS8CZnRkSWbire8osJH0MEpef+kDO6HTdZZp9s732ts3ZcYlugFTfoYNLon2ycqKLU6NF8ZWSCPXJECTdYAENAAn8/ziMiIkG7N3PK8qOeaamBaiU+pzS4t7gYAj4JJN4R+aMLktlaCGYYwspKcoTbFp9H+ST05Ktn7VlETUazel5qHcnhCLhMI6HA/mAHY4ZnNzX3jevOMCpuEWVgwAsumhA6xtlrTcN3Bt8Xag+lRmUEMNmB4eZa0J216rrLzmpqc1cLVfVaJzanNs9BI1gxtS3/8nKQsByFd+feEkWoz7NvUwNSZcQU+ISMdYnxcTd7aZr1gaNjhyYQtRgxAB6yw8JKtVdve0feNKk3jCEzOtKHmadR0R47NSnCbDL+Nmr/UnjwvW28JXlEOaEwGHb5NVIHFAMBXkNtaQ15XWKYlZigIh3mnfwuMpITuThSHgSIabEpnntbiMwbrrOLoF4Vtp3PRTX6RcXQafKfcfojURM/3L9ukxGzq/hl3Q6YWRpXaFcRNfd97svUncosrQzyWdUWC2KCyHckdvyo7OSrBFxHyHoIvKLEZCtj/wFo/uv/yk5//DCMfQSs/f/pf9Ao8hJH/vAwj51aG/stf7o0sIe7XUTCy1uRQmibV1tlG44Wq+h0JSYlsasUCjABm5lrV0CJ65q6auGXY84SPdwTfjeIAQ5imWbnuWaVlRkkuaPApA+E0wBjecQgjzfZqwqnq/jC/ZrtvSARFpjAACAQrtxQQc5X993QWm2RND4/HpxSiLAAC/fLXFm15VUfOyIg7ldhCGeGqIq5U7rTEF5QDNofn6cvn+3CgBB8EUiUaYHmH6jolZ++I+h067ENZba0fVWmyE5V5HU/oTVdahuzNA/bmoZmGoUXEulhlWagkp0X4hNQ8pjHdXmX6QrHxNDerjV26J3j9W4XWb8rI36sHvm2x2sraTYHJORRLSG1vBhflr39+veWqbJWRxgqmal0PwMsMl5lFJ5x1Q3cM/SOqATty5k714EKZdaaMcIlIl9Q8iZqm1aZ5rXlBjy9ou4eLao6GRsSy2XQGncHh8IQP5ygoc0mu2Pxy2+N/ajCOqrefiUwrok6Fz07S5297V97/tWLgKw02Urv/qZC4ZPgt6oICbqBPdpti30c10JzstowYRohbDX03Nh67dGzH2xSMPP/QYoeCkQ6NeVqJLcjw+xL8nso62Wj5IrZQvAwUvWnxhtyDF4uJxbLBb7RnF2pOfZAlXuWuleCLcuLC1cb8yu9X9QAAIABJREFUvRdk5hk5PqckprWUfkcPlTgTyr6ruu739Zt7kldkwOKKxeFl1xcfv1ZCfldI/lGGzzSc+mhFgYaxfOzALzuh/VlJz2hN33DDuu7UYNjPSBeWZrc8V3kU6kfk+KyCnFNY5kXEnXLifhX5jZS4jxqH0YMvZlYZuGyqSmcFAmFR3LrX5PgkYnbJLDOqx+9qsJvKg++EyE4GI32K3ss6yy1951tVzfv4fA9POHSZgBkdpjhZZnKWWufLCaeSHK83Xs1rfCyy5FAagq3uuroGdxqMUFlWYXXKiZEW4rf6Taa4+DQBg8lf2kOhzoNOCX5Z4claE4LPbXhsWt1BJqRWc5neNNjAGw78xciJz2ufvCe2OnQn34nJEC2jaAYIKIppsYhPfqjvfClLuQbAdjk6I7kmZ8+nEmJKPjRb9diC6Il5ae/FzLruiMrtYVV7kxoHa/ptmn6XHHPIyZ+AkYbuawhpF5FOCbR1gMlzCqj+cyGkfR3xCVq3Psw/wL15D++h6Iby7uFy6918YqFi0KW0XCyV1ftSw462Qha/ql/Sd01phf6UKszhtoFQm2060mGwjNeZvliPvb2yGG4KUA8eLblO3H1JMjAjPnNXYnEY+i6ml2hZFPMGWxoTlfLu36oH7krN99SWRT12U3Xg2RUVej8P/1BA86Xx/f3jaRwetTlCBzSf0IodbQM2Q+/VdtOF2rXHvLkUwQTBWewK5GnNoZH1Z++3nbkv751SmO+prH9ELH+U4t+oz/5O+9iivueScuMTqbmrAkOrvTPXhTU8m31gREX8scm8WNH6VNgKCYR37qd3QsKaZ8XGUa1lZGP3q7kry+C5MKOi5IcrOr/Unrmn7F9Q4JPaoVnFwF2R5etyYqECd0ghErGrTDNq02INNtfUd0vRgUXHr/SApq6AxRcyfAMAjUltM9DYgAl4MV65qww9n275hTNZ0kq9hH9UZntmzVMotpg/+D9S+n9XSziNB18bTBM7oiO+D/0ZRv6F3sglUR9kimAqlJQS0yvxW+qjL5fUbglLSGUyKXaQxgbsWF7q6vLd7+uotEAl5oL9xDA64i9J0WywE9Js05nsGvMUYp6VWxfEA7PVmEM/MK2zuETHPyvoMAfnlAMuj2qshkMI3kuwsz4UCCsq975bd2ZGZ1nQYXdUEEb+G2yk+xhsGhifatOYnRro6H0HNd+V43eqiJlyi0NEzCjNk/ktZn5oPEsgZC3JvZnQxhpwaXQ2jeUBgsokp64ilikF4VAQE7DbmBhFiWG99ZbB+JlmzzMZlS0sJpcPMRWbzQkVxmsSW58qP/GlDIozp/5TYSSUs0LXIrNDiU3U4yPSHb9ME2/y9Ium1jU2EOanNJ6p6r4t75+RWF0S0i6HTK+r3mhr3vVMTFSaB6ALIKPEA/zE0NJNsoPvoJ0f13afr9/dGxDqz+Ww2ABwGTQuR8DwXeFVtLFk99saGP0yCROuYYjtoxjyYS/iDzBSZR5XYzAzWmmaQMkp1el5pcWp6b2mO/J6jnq7d2Q2RxDMZgvYNMCiAQ4DfgSAG5jZ0mCagNQiDEt0qLFxam9iXIM7tJi9wXi77sB75ZVrEv3C4bjhB9Cy9Qlrn6nquamyziPQZHhGhc8osak/y1p8iCf/nmyk+17Tmu0G04QWG0co9yCYcUSM6rDLa44+U5xfwXavhdwATpQ+f81Lhl6b1gSzd5XQfWEENU0qjXeVsOC4pTd/IT/wQlHz0ZD0KsDxci8acAcGXjc2AL6euatqyOvQlbd/Xk1Moaa/gYqkuH2HHHfISBgPo8bsdcbxBvPtZvxaZn0XP7KA7RtGh9wn4EFnRuDJdG/C8wLKtkK7IMsESlzT4Nd12LCKGJfitxHTF7V9byvWH49KyGSzOJSjOwd4JQry1yetfbX0pE2M3ZMR91D4RruW/Yf+0sTyo///GUb+F0VOPx/WI1fADSP/8P33SzDy8kez2aH/7Ae+j/hpix03jKzrG6sx2jUmhx4mc7yVK2uOjoqgNPwAMPyZmWvUg3PKM/Ma4lrd/sf8AyJ4SzCSyQiriDNY1OS0xrqgwSf1uN2Aj2mIcZl5VG6ZUlhc1QdfTpI0eYUELtEMwB/kbquw3quyPKghp9D1Vg5LSBERXgCEeKe1pDQ+ocanJJavKoi7IvOY+OhrCeUyTyHcs4rJlMavqGQCrgfME6AebP9Q7Qn07KycvF3b+7Zcr3f/PzO6OE23X7RlENn9FLLrKXTfi7L9r1ccOi/qu6YgJlFsDoaI4LZ6bER16JP4xqei1ryS1zkiHvgawe/WmSebjn9YqN4eEJlIiUqZgBPGTW2s2PbqJuKCrHkfYLiFqBzASYzM31i97nlk/y+r9g+V7XuiaM8vc/a8Xdp5VQH7AuZUxkWt8a7GdFeLz7URYzW7XwiJy2Ux3JpG38CYtKS0bMpBh6pFPJMqNr9cN/j7Wmyi5uhrSRWtfuGpXuFVodWd4pPDYuKuxjLT2PfFqh1EQmQUPHk4BTMYfpkJ0hO6YzfqzS6teUyF31bhNxv7rm889pu/DCOnlNi8DL8nwe+qrK4GCCMly9DOi7misfzElXLLnbKBr5RWZ2Pvh3myNTSYfkBdDEagX+nGnM2vU051s0roq0SJHrFJldmh7r1e03Ve2rwnKCSYzqQBOtuzoEXce1M0+E35wO+V1ulW0ycZlXUsuru7BwCP+Ai0S3L0E3XXJ7o1x2L9IIwUeBYWIZ1V7U9Lt74g3fGceNerFbvfK9l7UdI9gZrv6LA79cbr0s2W4OQCBjwoBuDFAP/y9I5ztZ0fqrc/J9v9fNWR1wr2vZq167WCIx9XdF2Rmm7U9Q9rD71UpN7IZHD4EMQKAT0lETkp7byQv/f1vJ0vlOx+s2rvp7JDXyLHbmmO3Vhttq0121v6bAg2WWqZVBFX6w89s2JlJWXhANHh0mCGck06vBU4MUlao5J0bXnCWVVzKDg8g8fiw21PWijwq0KPXTCcnkGsE8097yVkVcNqAy6ddMCOjZRuUxx8XrXv8ajyBsAIAsDTK8NQtf0F9MivK3a9VnTg3Zz97xbveq1s47NVO95SnPiy6sR1df+c0jojM08oLY9Y7CzlRr6j77muIO1VFkc1OUHZ1NlkxEQ16ZKT9nXk+wVVMk8u1WEIt2QjQHSTCpuQWBZK8VnNU9+0nnOVI2uWFvig5ADF7qruL5B+aF+ihLqzCZ0Z7qrrCAgja02X1mLvZRWLl1SogMvJaNYQ1+WDU9KhORk5Vm++mFVRS1+SbXNoyeqKk5fE1jti8r6edDZ2vVes2cAR+HBgewyTy4spkK73CKY6TllswPDzKd/ScMamMl5u6P0AXX2Qz12SBQBaaETJYUnHU/V7n9XtfbFy20slO8/Lusf0A3fV5B39wF2DZbqu92bT8U/kHeeKDHhm67nCw5+r8KkG83Tr8UtVuq6gqFzApAMmC7CEtFhx5s7XUMLRSE5uOfFOfroY3oqssIjCluz2IdH+1yt3v1q+4yXx3jcr9n5QeeSqvNeGmh0qk01nntAbXTV9jta+W3W7fxmRWMhjMaC2i87zi0sNSM9mcb09ANMbRpEwATdMkFuv6j2/7nlnSu1Bjn+cd6S4ECGUe6+rB/5HJvGHVOLuaus4tuupoYSCqciQ70NY/3Bs5KbmczuO/maVcWxZ1Dr2k7mR7tJWZ7YZTGNKk0OOQ4dSNX6terM5ZEU6GzaTw5qUyfAE/kXxekJ87DdqmIEOrW6o9shJdMke44fabhma2nWmCYPJrjc5NJhLhk1KBudFgzOKvht1nZ+q9rycoTvin1rOFFKSCShkpWZEtyqPGQ6EVZX7zzc+Pq80Tyl7ZzTEogybkkLpuQP5C8BVA01lXVS7MLQPVZoXEewBSn4rw1yS3i+UnR9XdjyRnCdlU5PN8m3mNpJh02lMOlMIQiqruyAmlFMwEiHGUfK2Erbp36yzDNef+qy4rtfTN5a3JP8AgBsnyN+WvePXMsyOWmYQfBL9EZr6e4paIYxU4JMSEwwjaiRvFNQe9w5JdXczQ82RsDhz7a8k+IxkYKGKtFeTdjlpV5mdhq6bylV9AvayqgR4eiaqMpofr7HO6gfuNJ2Z6SDPZyM6n6hIAO3N3ZutfFpYdUrTWfmpWyooZ3VHffwZjHyY7wJFrSqzDcbNm+1qs11HulDjTUXPRfWx89KOx1ZWt4fErmBxKK0+gMliyxtpcGL3yWitNU1oiHkUOqc7KUHIqBIfUxJOFJvUWSZreq5KGk+sTMl2FzDAL1FYui1393kEm1QSsxA9QrGxnWpb/TM2Es7CKmi94/z79Ea67wu92V5rgslXcmJCRDoqLHbEMlrXd1FctzvM129pWAZmh6G47Nj1WnJGZbKpoWnNmJqY0GOuml67pvMycvhN2c7Hk6QdfvE5HE8/QKOcG6lLQF0+LgAB/OxWA3kDGmNgcH+UOtMfbtKfZPYe/U8Ud8CmYrhvOqY1Xqs/+anh0KuyzURodjXsYHD3JlHjgQ2AJ4tJo7EA8Aiu3I30jVX33kSJL1XEl2rzNZXFJsXtYmxUZbmBHPlVsrjFxy/YhxpLNBob+OZ5lR0t2PdFNTYns9xDLQvUHeQWQv9VR/szjHwErfz86X/RK/BvwchwyqY15EdOrcswcrzGaNcZJ2rNIzUHXghfUeQtgFYocIZk+LNWrlEPzqjPzGqJK7X7TweGRC7DSD7wyBAU75N1jyiJaYgo8Ak9Pq4mbOLeETnu0g9MVe9+VphYwPLgMJZmWy9a3lbp0AOJ5dsGy4Ju0xCPxaPyFj0ACOAGVwXITsnJqTLL/SJsUXzqt0UtnZHx4W4XzRJDZ6lqNxTILVEcALCDQjUntI/NqcmR+s63xEjtsv9hoCAmNSC9IDSjOCytJCilxD9FEljamr22Hz15WdM7ryUXVaRTAz3DXMiJkerDV5HOW+rO67XHLjXufU/VakxIr+TwhTQWA3CDQQwaocelB86v7n6j0tAOk+ooEEcDQi+/5Iik8rCMEr/MHN/0fN+0cu/cxlgDKTrwm3r8vsH4VU3fV3rTQo15vOnIGyLlOl9Pbzh3MvjAOzNLsa5at+YHok+QULrxRd3At1pisqbngmzLOema/pL2p0t3fooQ8+V9k3UWW9PR17T6zfHeS2cJuEKvJEPpql/Wdk/WmeYNxkmKMhpt7r1B9Ua6Ra3/mo38cxgZQ8FIqk4XclOaRKeuV1nvVfTfV1kmWvo+KFB0sBm8JWoaCDjRoszVT6lgt/ysW3sCwwnxadTs0vbdbOp+P0fSwIE8IeQuvQrbUOy29PSDqsFvNAOuNeSnaZU1DLfDC7yIgewYdcm2Z5Wdb1U37AwWQCsZX05obGR2ZFxhdHJxxIqikJRK/xVK/+z1hWtflB++UdMzuYm8jKze6xUYTLFqNMANZYfm5Rl2yfWbslJKY1OL/dJKBRliTm59cFN/9vHLYny88cyYbOdj8YUI1REBmEwfNj8tsagjV3UgMF3hn1IRkK70z2xPaX2+unNc3jNV33+3mZypN9pU+KyEmNWd+kDWvCPYP5BLpSL6sinzI/d4hh85gBefpOtVk2M7nxpPKa5nc7zZcHWkA1oQCKhEjl/QDDhV/RPt5vOx6ZDvgo2AsAz1D8xUottw+YYeXwhgfBmc0KiV8kLN5hWiVr+kSt80qVemxjtVF1a8MbvjXHXXZQluU51ZRK3TiNmuXA78gBY7fwFGSvFxMW6rIiYl5ES76fW4FUmwWRG+NUIAokFiey3kMGZF5unac9+te3qxSr3Ry83zc7w4OTWlnR/L+51S2FL0YxhJTtSYLq/B3s8skS5RMoArzG6rH7iNDLhkg1MKYrjB9ElOVS2kXuGlEIKUmtLuy6KBeTE5YzD+Vr3RHL8ih7qEDED39UxQGnb/IiiJIgNZfAB8BGXb6x93IaYr2uNvShp2+HsJ3ew7ADxuSG5EcmlCakFMWllomiogb13B+hfUPTcMpEtHTGvMjlqzrRUb0Z34jeLQx/ITHyM9F5pMl5oOv6tsNqZnqjyEgXBXhB1ADyrxU3bmHrugHnDVmYbb9z+/MqWUqjx5Av8Yn/iC4HRRUKo4YIUsOE0bmN4UrzxZtu1V5amrBpLqTuqztZlHmw+8LlJvEcLAGGhBDbyT46pq89SN3gGRHoDpASXXNMAJ4OTWyI0fNjw7V3LgrbR6Y9nqp5U7P6sxf4Oc/T6d+C6DcG48ff1g2/FjfhHO6JDvI3j/WDCyb9srm5vP7fwbYKRdbxxXGh2w4xEfVZs/K2jdw/ITUuSgW0LiyYhEy3a/ixrH1BAswVRABIc7IigkK35U8C3DSArUwV41O0qMScib1cR1cd/nVZseL5JsSstBAqPS6RwhHLLuktRNZ9MpoEIPgzDywPvNTy5SMHJaQyzIsEkZ4ZJSMNL9Eg9fd+lL85TWNKsxT6mhC6iDkizO64kFTeeF8o6+XPn65AxpWEAg7KWGd5H7vOAuGI3mhi48EFwh6bmuGpxFlkStNhVxS4Nf0+A39fiorvuqfNsr4YlVS+ZpcOvKFwRIMze8jOITULxBziBw/8+5TM39+ZVxH/B/TG8k1NPKsWkpFH+O6k59nCFdT6NxOEvbTgLAz1+5+jkUn5b3z4utTmm/C+l3omab7MCn+YptXGjMQlUn9OBk+f7SHe8g5mkFcUdjmW20XpHtwkJzS6GdOdUnCTcWhLmhsu7qY1c1+JSGShzS4H9mseOgOCWoYnXDyNrBOaTPrjQ56wdnJPtfK2o9lidbl5aOBPhFcpnUJik1hbOX6xpqweN5Z7QZTA41sYhAGzEXJQgZpTQhDjk+iZJOLX5Dt+d0QSkUpcAZjeEFgqsyO55XGid0FrigUj88isBEjT+DkXAML43Vv0vgh/u19GZo2K0xO+S4U0S6RJYJnWW44cQ7K3IQyu4cjipaTHXmhpeVpgkNPokY7ajZru+fMVicLaYbrUffE7WYE8pWhaZVs/1joAz5Jx4cAIJ4FIykvFVh078Stjj+VU8KcLpQaGg0osKu6U2faQ+/JF7dm1LVGJiUzffzh1v1DDgTuzffWUu7KjQAPP3Ld8l67dU9Y1SU9g0Ev4mSDjk+LcZmZOS0/NTFojVG/6gkATUs2QwWYEVzk1uLdrwnJaZk1gU5OYviLnfD9l99tDBURkFMyC12KTGN9E1u6rr0c+DHf1E49Y96WP8+jPxx4MejMFJvtDXit+v3P+3pH+12f6HWLn9Wdod6YFp9etZguVq773RQaPSyvJwNaNEgbY2i+4aGnNTgTi1u12IwjRDB4bZag8Uu3fYEEIY/1GAC4E0v3CY5fV9i/a7euqjbPCDgQIsdHmR1PACIYBTtlA/OVA7dL8Ndov0vx+WjoYEeEEbSvaQ7X5euPwPofnQAqOUcAHZIiKZL/+QDrXVSd+jd4soGH/fi4l5y2XS3ZIKat9jAKzg4H81tHpAduFFDzKlxO9LrrCPutlsW645dqV79bLbsWKF4X0HputSUKl/YWw13tenRRf4GY+7+D5U9X9YefTEPqaXBxAZYi3PdBbd7VqQwDfyUG8SOFIfKjKsHH9RjX9X2zjWabM3dH5drd0WEJ7IAnUbnAv8MbnaHYucT+k1d8DXcf4EXV7zpJdXA7xFy1oBfb8aursJv1pgmNP33kdMPKjFHy8BN9UZLQnSu/3K1BLjRYYX7FHs+1/fNGkx39MYFjXlGZ3a29A5TgR9v/AVR678NIxtFXTeqrfeqrPc0lom2vg+LkLVcFmwQoE6RAzjxK9vO6gegXRmU7eAODVSKzcjN0zrT7dWmj+Myy5crfoEgr1WJ35Kd/ko0+I1uwNVBfJpconOfLmSEgDfgp5VsGFB1vlJeuylQ6MGhrqq7cHIb4VBqWw6NHRma05ZS81j1/t/uO/2ZXKP1ErCWXoXB8wyKik3JigoJo9o04LsDoyx4XiAe8a57Wj403fykrWhNlyAi1l0Bsjh8gU+cf0h2YFAOzV2gQVDnJUypj2p8OnXH59XmRcSyqCJcOnxK13Vbsc4al5LNgwfMYLIFsQnJ4bHRsEaBzgKwzRJ4JCbpjSpidO8zw6HJxTQaJKaoKscPBIkUnRdVA07NafuGgY+jKa0ybMyDhynwCFmJrjlcUbuF6RsPo+o9/EOjVoTEpDKEbnU2ANDYVQCE0V4rddEtxuKTH6gfd6H9sMBQkbM/7o0817HnUTbSpiDHJPhoFTZWTrhE+HjbyedDAnxgRQrfAAEAkfSE1U2ETYtPy0xT+qG7a56crlBv8F7CmXQQW1V6/H15v0NKuFDYVUuxkSabjnAaSHuN6cs12AeZxdKHbdJe2asb+0eV/S7FwBSKDzeZPsmrqqPeCwiYQVp9hfma+olZtXVYfeC55HzUS+ADN2S4IewIcXqjtanvYmCaBB4awxPQ49gFu5vO3VFjN9EDL5WrOiJ8PQVLIxCG0rjrAWogCQAvMbJ4Q27bY5UHPlbhDnX/vBp31eATSM+wGh9rsP5WefBcvn5/VtmqlBSRvzAEtiwy6MKwnHDJ0aL9n5SZbIh1Qnnyg9rteHJSqtueY2mIwn/chlAeAPh5xpeHlG3IWfesvt+pIKc05rH1llu6NVhcbC61L0AHghiPos2lm/qRjUd9I+Iorpz6S2xfWk59lelSxcCsmJzRQuX/pIFYQCx/quj/Pmfg28KBW/WnXlLlyxoAbTQ66PtoAYSR/92dWn/ojfwpGDn+k2zkUq1GIR8Um4REH35DfuzlRHkDEFDNEXDa4AMQLExdhZy6qrXMKPEZFCoMnQrMKSMgjNRQvsM/lH3uL83QNAzmjxNjcssNKfaJ9Oizle2HVqysCBQE+tCgHyjsIF+mNahpBg5JOA/QQ4FQVLn/g+Yn76iwGVWfm42clv4YRj4a2wA/N0+qzDMoNo1AcGtXYyO1fV/WH3tX0XxgRepKb76XkMn2pME7lQuRELXo0Pmwq3dpxeBAGNl7XTU49wOMxG9p8esq/BaKjSr7hnUnP08rb+MwmBSjCWAxzC+I1FnEXdcV0Lp2BoEe4g95ub8fjKSMT6dk2KwUm1aZh6u2PROdraCMMeH5wuPk5ea3PlNLTKstc3KLUzHgRPptqPmmaM/r2eJVbq9t+IOM8ExDN9J5GYF+KveV5IKevCU7+HRIvghmeC2RXizAX+lfcbRs30UdMaX+92GkDfrr4C55r11FzNdapwobuxJTMgMEvj40jpCaO90Oa6wlhxjqJocfPLyyVuvNThVxV4HNK/BJCkaOwSxsHDYhQI8f4nZL75tlqkYuG3ZHwGXAIyVK1SvrvKmzzqMwoGJMYbmNEOOUrnWSApNwZCqhT9p/AozUmR16k0NtnpTjUxLCISdHas0XVVus4TEZy/aAfE56bcWRCwrMrjA7JEaHzOyoGZquw67V7XzKULszNbmIzvBaQvQPL9WPPoEwkrsMIxXEjBL/G2Ak3H+Bza7jBvPV5p7zdbuHZDWbExKz6VwhbIKn5AnwJqU2+qhcKvfaDcPIPCt2iftmJL1TGvOEChtVECOUeeC83HRPbr6P9I4pDrwWngEtW6FVPZ0GgDcnUpTacrbKaBOT8xJ8FsWntJhdC019/0rQ+zOM/EcFZ//3nPe/hpFzf4Wotb5vvKbPbjDamonh5v3nvH1g9oLAfecxAjnZ6zQD09rTs7Xktfq9j4WExrulNVSlHEJLbVL2XNGRDi004nJosAkl9Cqf1Zld7fioZtMZBieUUv65Jw5PWvFm0Zk7ooFvavsXNZsHPHgMKFaH36QBEMTM26i22lqfvV9x6L0E6XqeTzAfZtwJQWBVZee10m3PA2445KzcNSUrNFBjRJ/6k6L/XtWOd9OL6j1hbQ8T7z2CI3yikgKiEwPCo5aWXSZgePv5Jipz657RnRzWW2AcrhqfayNdyJaXIzNaPTwThR6RAk4gn+lOfoB/iZEqTt32vKx/QmV1VO16bkWlgUanLa13NODp6eMfnhgYlxkQl87x8FyWHwWB2IZawqE3OeuNI209H8najoVGZVHCCE/Aj2flbYjt+GUD/rl+BwYAc2l/jpdQuPl16dA/i4kFNXZThw3rSJeYmCmzLJYPzldaRmqxj8oMuwRs/+VrxeVFKlOV5zTHx1RQozunMi8ozfMa83Rz78hfDSMnGyyXYgohp+RmI3kpjZKu61LrXYnlnp6cWN37YbFiHZcFAR51dkzAjMppG9IPzqHENIzhpWCkgpiVYLMabHyV6UJ8WhE0noCVvo8gr02N3VQMfVU98K2+f3ItfiGpWO/+JmAyIQDjRYg29Gk6f1li6PAVQhITNo36h3lHJQXHrwiNjvHksT2gXy4T8MP4CbVRtWe3Ea9VVOaz3AZ9NBqgs9gcPpPJoLEEQTFpIWHRwXwuLEVoALDjQdYBKWlb/eRwYfMuwOfARYUOhagMJpfBEDKY4SERCfGJyb5QT0sDzEDmigYvJZl19JpoYBYZdOh7v1CuP51VoGLDVhsaYAR5JlWJ2vali7QAthzRKCtEARCkJhhIJeHc/cytgPh096YJHS5bviCoWnHyC82A03DGtnXgw7jUAjiqoF8MXN+8A1bo23aXKJoA3Qv+fTqTyeQwWB4cvyi/uEzfkAjYYUqj+ux4vuzU6vDGrmrTbxTkOIq5EGIGNU+uNo7v775GsZFPPoSRlRaHyDIuI2+LiduV2Egp4ajEx9tPPB/t7c2n8gypDyH0hJZWfMyATyImp25odtW5iVLNWk9qOwdCrcjKqqPvo1ZocIjiTi2EkTbNEox01JiursE+zCqWLbskePhktzdZx9T9kwh0shhuMn2aV1VHxeKwYUBPZnNJ78XmX0you15NETfzPANgXUETsmKQEP1pUfctDX7TK52CkUAAmJns7ANtT32nI8aR/S/nS1p9WMwl+gHQOT5BwrBY7+j4wKgoHx9PQOOzvWJ80gzRGpOo64Zi8CtBA9sJAAAgAElEQVQ5MQ/DzM1OpcWp7zmfrV7P94tjc/z4TAGfGud8PissTVS46ozWZEf7H6AWh/zEG/J1hyKi4YYXBAsevl4hSUHRmaHR6T5+wRR0YLD4vsA/yyd3Q9H+92X9roYh+1rTBaluD4/lD99NegBIXZO457da4rp6GyEIiaFmImoccgNA7qpi0638/m/LiQdKfBE1zyPkPZnlX6qJ/1VqmV959KVUpC3F2x8F4Hog7/swzj8MjPxf0GKnb9urj7CR40p8QoXDNHbNTxRnsFxDsEk5AYMrEGK0zvLb0g2YV2oRvL3dxsAMb8BIDis/YCAm1MSMtNsBwyQg9wWJdQpG2jVmmOvgflKo0q7E7JT+e1xkvS2zXFH2vVPavC0iNt6LB8t9H4q/h41wbBYEcjToOw63Pt1PZgjwFFXu/7D5ybsUjJzTEHdk2LTbYgfB7W5i589hJBUjocCnpfg0gjv02PX6E6+K6rbGxsZ7s+CKCF26aAwOXeDB8fbg+kA4yWDD7TeonqZUECGQjVQOzFAwEvZGKvHbavwWQoxI8FEpdlvVd6mq+ViAbwgXdoxS8IybwcvenL/zfY11FiWp7g4zDPejwOTfE0a6EHxais3KsCmt8cvM2mO+0ZluKpKK7+ADXl5B0zlDn0NLzKKkE7U6lNbbatNvqneey64yLLXkwTUmfGWD2YCNoeRdBfm1iryjw0eQQy+G5VbBWX7pFmQBdppP0d68ze/qiEk1DrGZm42kYhtcVMPho2wk5CTlfTZ5n0NJLupwZ0JRixeH7guAFzUMBIDmQeNwWdCilbmUo+1+JYFnVrvO7FISd+X4vBwmYU6gMBR0XAEJqGkZPq0mne2Wy9K2I4GhIdBnFpYY/vycjqLdH2kH5uXEtJSwKchhBT5OdUi6jXaWMOTfGUa6cZF7z0UJ02um5bhNQ1zVH/tVHrrax9d/qc+AFhhQvhU131JZp2UmZ7XJJcHt2v4RbedbheK2xLAYfw4sp5Y3Mtw7r+4BvPT2UDubwQ9hpByHd+tDUeu/vmuWyPxl2IbiUxSWG202/ka3ZaCoQh8bFU9BPvffh3cQ38OHzuFRpCQ8anjnwjuI4VG1u7LvjqR7ocYIkaQCH6OENwsa4wN179c1prmGU5eyZOtoLA57SRHABF5xPqXb8w9fQwe/Vg99jWJTGgxOVn+lIdDPotb/e8DUP+6R/msY+df0Rtb3jdf22WuM4834rZZ9T3r7hLCpCRPe+xSM1EIYOW8gbtbteTI0JNFjqdYEgBZAT61Tdn+hh7SGXUu1gSiJaQSbNZgcG/CR2g1n2Oxw9pJhI0WDlGwQPb5QMfSVfmhBtfW0B5crBDDGg7qxQwU5HfW9FzdaPk+TrOf5R1Iqeo5nUGmsBlOdmcnbcg4Io5hU8BpEX8zQII1J9tSfJAPfFm1/P6642cNDCGgcVlRaRs220rU90vWnxI3bOD4BMCrPzQ4wAyNXrlfseKe+3wWTRQhnreV2+fonfBNRnjCYx/fx8PDi8flwnnFTHv4JvqKtpV0XpVZn4c7X4qs30j0ChXyh0EPo4embWqIVrTKKtzwu23E2PkcsYDAhxmQEgKDKkv1vK/t+02D+2LDDFJ+czoacKx3wEwSpTfHrf1VNTGx9YVK/EwcPZR7chMItb0jP/ouYXFSariOm2zJyupScKeifLj9tlw7+VnrwiehcOR3m9NEB3Yvml52qH0R23lSfcsmwCRnplBOTVEDFVGPv6EMY2bH3PGKZQEinrm+iBnNQKcdTSmzO7dSqsrphpGy5i8STl9Io7bout9yVWu7XEI72no+KFet47EdgJCs2u21AN+BSEA5ocobbNdCvYa4am1di9jbzxcT0EqF7kqb7euS3a7BhZOiBeOB3hv7p9cTnScV1VH1Eo9wsGYDpI113UtP5q1xNh29gIGAIQWBGrHpH7gZctpNQrT+YmJImoLriaTDdPgYk1mt39eYVQagGxwaLA38FeACOn3e6qnTrWXnTgbL03GCmW1YbDGLbi/f/erXlQmXjNmrhoN5WN4vI8QRhJSWrDrfs78mXqNke3jAolRsLEjSx658WW28prNdk2615RaIQb2p4MrwY4dLMdmIV+V6uYQtge9MAA7r1wEae1ESDRYM79z5z3S824REY6QeCJIqTl7QDztrT4zv6P0hMgTCSBolN6Mzh65/cvOZAJdoCaG7hNvxVtndcpGhj+Y6nyup2+PkGLZnoQnmoLzNDvXLL8wpsWIG7ZNCLYXq10ba/+/qe7a/u6Hhi7d633b2RFRSMlJLDEEbiIyUUjFx3/FeJnkFeS3cuF4BgWlJzCz5iwF2Iya457Wp5erhQt8aD2ngFgMuOFEuOvK+22N1KQLhWmm1qkw2SaZCNvLIW+2BlsWKZKfH0yu5otI6r+6fRgRnob9/3WW5VA7zcDA6gBYKsutITb9Rb3snSr2V6BXJZLAbDg++XGa8ylh0faXj2D5r+G8L0CurtEQCQ7Ft4fM2573TmUeTA6/noZj4/APoy8P2BMCa6qj23ozt/a69s466sguVcHI8IVoIufdMbIss9qfU+DAnHZzX9szVd72dK2wU+MRxegEDgx2fCmEsuh8b3i4zIX1W17ddI12zd4IKi6/2yVYciVmTCrQ22n1+mOr/RLF7/hGr9YLG0mUmBWBag0VhBwLsoGOlSkLdahm40HnqhsLKVmil9WOGKoLbXKh77n/WPLep3DnkEwnSGpQcniJ7bXmocLh78nYi4rzZNqaG3/4LG/J2m+9uqIxcDkQ0sn+AYAHQAjATzvo/k/gwjH4WRbiNE+BEm12F2BT5VTcxKCCeK32wmLmRpd9J8YmAID2ytowNmAAioTGs4XWOB0UbyHpuaqkoVmFMOYaSDQo8TMBCPesIvzRMIbpOQo1WWEcnQKGL5UnPqrRUiHWBBE0oai8VmsZksDo3rwfQLYXuHuCl9uMHj7m9gBgNhVdX+D5qfcLORs2rYGzktg72RMINeDQ2yYaPdo08VZlPCVq5JGeRLnQbsmv7wLwJSC+HuLYMBZ3kWDwgjOSHFqXnalPRiCF+ZbnBJwVfABSGVsh9ErRNKwqbER1X4qIKwibDxamxEiV3R7z6TnFLgwYPUEQ26i0UAv6romrMqYlIBU/VmVWZ3QN9PY8j/oMAPJeaCewFml8I0qjz+TnChnkNF+riFKIAW4J1QU7zmRZ3RqSZnUXIStTo0ltsG40fSLVhWifQHGMmIyG2x1JJ2xHJfTn6tIu7osVHd0dejc0QseLbuOZ8GGLHe2euy23+pxx0qYhqFgRA/StSgkMlS1Idb14qY7IjJpbIsasz2kPQaFmBS5mx0Jo3P4gT7Ba6MXyFOSivl8Jeayalb3cMza7XW7ELJu7IfYCT0y0Yh0T2jwGZVxHSzdRTZfi4xt1ywFHjJBOHl0c2PqYZmxJZZCelQEKMI9HeF1qwPeci/PxvphpFuFAdDULEpFB+rxS8h2y1BCSu5UOIJZ3eGf35SLa7CR1XklNzoFJucUsyGmC5X7HwiKKmUAffcaTTAoDP5sJmH7cnzC+J4+Ty6GLthJD+nrYa4ISNckI1chpGU2NvxZ+GZSsrz7SH7R6kSJnXm0RbjpbL6EwK/ZPgHaUy4nLOFLO+4wGhRdkVtAHQmhDczfOmlJ9OjcndF311p92K9cUpntiH4mApz6E1zBuN9Xc/9RtN8S881Udspj6Coh78EmAIQLEre8Gtl/1fqwQcoNq2mNrx+hpH/uKjrv92Z/ySM/JM/ZbHj7o38KVGrm42sMY43mW807H1S6BvJoMpNCkb6snM6lANzyOmvVJYJw56nQ4PiHoGRgbS0OmXPFzqLTY3bVDh1yxOTasJlME+swUcMGx9nc6LZgOaO4gDAk16yUfLYfOXQPf3pWfW2ISHHw4tyXqW4zzD/lS3tR19UGLaE+oXBJkgAeIKQjKKNjSd+ve6Z24UdnTTfUCYAAZBPYQB6WLTiiMIyobBMIV1Xi5p7k/IRn9jSUPEO2aF3ND2XG3q/qD/0Uqa41TMsAor5IDhk+IYV5Rv6pEcuSklH9dAUOjAiPfJWcUtfoWJLXnVrrqg2rUDk4R8Ejwf+PBv4JwZI96TuOq/ou5nf8UxIXmt8LpJQpI6taJVuf7bBOKw12lr6J9B1eHxcqgdfCGfLwMyE5m5t39vqI0+mFpUHcGAvGh3QPGOK0pr6kN6LdadHdjxzTbP5xA+9kbyYsk3PqgcXZZhDab6FYHaxeVrcPyMZmkD6v0BPPZ+sbGN6BVKrlZARXBKMnJIfvtrQd0dtmpYQY2LLuJiEWcco5mykciOP7njz5Npn1+w7r7BOKCgYWWu26ylfQBSbkeJ3qolFldXRaLkYU1i9nEIh5KQ0VXfdrLY+EFm+1pKutp6PCxUdXBZsWqFWDSZgJ2a3DWoH7TLSpsDHVIRdi7lQfEFiXlBiEy3YxdiMkuXl0YtTuEaOjUlPf1s1+K2+37UO/yypuJ4SaTHgVaJxATtY3GGqM31SvckaX1rrk6bzQ04WHv1MhNtQ7FpDz3vS1r2RMfGcJVcePhAkr9Q0JmUlwreGyQAsISwaWVE+qbrcna+VW6e1nZ/WNZ/ITsr1hoUTHwSKMpvwxsMvyev3MxmedLidAB90OoMVV+pX31vW+4F+8IJ0B7miWMkRBsFj40f6VK2Rd78tOfF6Upky3k8QQMVmcv2TAyQ7kc5XNp39IE+3jlr76Gy4YAmBV1yq5nB9z2cHzrzvHwXxA5MOaFBIEwiC5PKTV9QDU/rTjq0Dn8alFsMh5T4IwOUFZjSu7RIrOygoQjEbvLCois0lO9/RWWcNx88XI+0+gZB+px4M4JcWhR5De6/KoMJoRolPUoEf1ygY+eTaPY/ASNImJ0el+IgIGy3DHSJsfMPx1xI9o4RLKJEHGcKk1kZiXENMyUx29enx1qcuF+rblys0Pj1KJj7yEQyAxacoE3VYZaEmG7ROsIzXmC51YO9nFiupzRk+AP6C7I11/ROqgVlkYE6NjbcYL+VUtVHXmgOAFztDLj1wpqBxsyA4DF4BGhAIAxLya7W7XmnFbR2Pjzfib/qmrqRqXR4A0YF529adtut6Lum7PlBsPRNZ0CBMVXjlNvhW7Mnb9rbUYpOcGW0ZeKcAVdGWQk2ZwDM1QmUs73VKBx5IiXnUescwsNhsvqHb8Wyh6nBm+YbsskbfkOSl0hIwACc0In9n+ZoPNN12LTmmPPpmunq3bxLis7IlofGMrGtEa55sMI7U7zsXl5HjxYcurGzIi0fyU2vFR96sP/VmiX5XREw2k87neK0IRw6VdX6JnLnXQNyo2WryDHoERrL8eJkGpOsTOeGQYA7EbNfik/X4TGPnhHL9+ynS/SAwjkejpQJQD8BEVMD3sV4/w8g/g5FLJT7Mr8MmFPikmJiRQSHo9Xb84+TKVYDuDWiwT43OoAFOBDN7benedzXmEQ0+oTSPQcCGTSC4U4G7FPCjU+EOLcRhTiP8EnPICZuMGJUQtxXWETV+Xd/zSVHr4cCMvIC0HL+scp+sSu8skU+2JKRUHVMgBTA4gAZteakBC92xhJXV+883P76gxqZVfTNqYkGOT8lgnOOEEoOOTDoz9ClxP91fUiEKYyjuRLEpWLxit9TH3wgqb/ZNKvFPKxPG5QvTxF4l6yM1vfq9j1cb2mDty6Re0s1G0jxAiEjWc001OKsgnQg+oSJsKmzMnVUoxuzV5nEVfqPt5Cul1QYu1xN6R8HpD5pr+Vd3amAA4BxCzMJy3DSh+cutaP8xvZEuFebQ4Dat6UrJeowVnQrokDClCC4m4K/IrjGJ9n6oscworHNy6zRicektY62mD6oad8cmpvFo7tUIAFZUbqulhrQh1nuI5WsNeaeemGg8eT4xF+5vQR3L0u3ux4tVpNcPGjAbSsBUlT/rPKS4L5iNC/PrIQduR6GFrEtJzGrMjjxdT1xcSVxcTkRCUWASGpi9Ll3ZKV8/JGs9zPCAvnDLD75n1mqN2YWQd6U/wEibcqnRcRbFZlX4lI6wKY+fL9au96IaquHvcsO51btFpmvV/dMSyySC2yBohL2RP/CQ/3kwEnaxKmDs6pQav13T+3FV2xGWpz+bBnhwGfMU5nUUbn9NhY1ryCml2YWYnRADG7+s3v9SjKg9ICEvID7XL77EJ0UemKEKytYmVTWFZ5a7r9gSKQhLs2CPnLZa4oYc/wFGuhEsxJDushKy99Tny+JeN5JUYjDkQ2u2NZhuVKw/559V75tQ6R1fIEwo9spAw8S7c9pONx58MqVUsgwf3YUgvO6eFXurehdk3bP1RrvePIriozCmxTSjN93R9y3WG50tvVfq9j4RmVHiLtQoiw86YKbEt72owGA0JQUj3f5MP4ta/9vBqX/UE/p3YGQI5bITzfs8JfNIx+Ml1t892htZYxxvNF2v2/9sUHw+hw3FlrB+ZfAZ2atkQ3dFZ/8gtkxr9/4iOCD0BxjpEe9RsA7tu6y22lDCpiCcCqj/n0CNN9XYaINlQrvz+cDIIj6DDWMSoI7Ah5m/ET2zKBm6X3NmVrdtyJvD91lyXuXSBOlRBS2rd+ApccnebtqEDnwDwtMza0T63brtJ9LFCM2Dz6LReXCryQOAkPAsQ05b38q1jyFH3289+V7DrnNFq07nbX1b0m2TmeZVfa767qttJ16JL5BBawImXEc9PEP8V2jKtr6KWsdlj09qnpxETZc1XZ9uIK+uMl6s7XxHuePxFdXt3oHxDBqNSQM0Fhv4p3rLu5R9N9U9N6t2vVW26Wno33j0AowCJu9LTV9pyHtr+j5VN2zy9qOYK68grzy1dP9QQdtBvrcgEDaHwRUtOC4jHd1Q2NZVvKpHvOZInmy5URDQAC8sRb4tb925lLW/kvbehnuXxhm1edxg+gLdd3aluo0XEgnnXp4vM7jYT95VcOSqrG9SY55GMKeYtIks4yLLeDU5geATDX3DG4/95uiOtzofgZHavok6s91gHtNgdgSfEhMLImJOZR1vtn4UV1S2zEZ6MFKayrtHywb/UNz/e4Vlug37LFfWyqTD/nQKzLBYIWU5HU9oBuwSy4SYHEcIhwabVGPziHlOaRqp7f0wtVK9lM7AEXhUbq7AXWVD35UOPlBb7R3YJyklDRSMpKowZgArrFi65elV/eONfZcrt76Qt/3Nos6bRX2zJdj98l4X2nO14eTrZYYNNKqbEM7+XO/g9Mzw1ASuN5+iCjiAHgj4Wan1Vgkxm2v9o9g03XLiY33L4SDfIHi5+JERhS2ajU/UtFuDAos5AMoa4WpC8/Gq3Jzde2Xl4MxKq0vWd0G3DQ8MT6JEmBx6SErFeqN42xlhQFQIDSqovek036iMSNHqvOa94vadKcWV7nWQyfQATD7geUUXIJVNB/Rr94XHJ7I4DFgSwd3aYOCPSDuvKfrnFIPODWcuRWfBX1zaUmEFC1NVho2Dypr9vl5xVIHIBCFFJVteQcxzMssfEOOE9shrSeW1gAbZcQ6dRuMEeyTqRQc+FJtnxMSsEp9YbRw+0PMlJWp9eu3e9/Td1xWko5J0wQ0F3IZgNpnZJsIcMvPY+pNvZcXmCwGMKKFEraEgYZXWZJMTsyKzC7UOtwx+UqBpg/co5ER9mOk1FUc/U1pmUGKOSlp2qDEnYoLFqs46bDB/vgY7n1qspn5aCEAIJ2uTjrCpz9yV989rCcday42sitVw/oBjhx2QXqrecjypoJRB9SsxAfD1C/k/7L0HdBN3vv49knvvvYILGHdwwd1Wl0Zdci/YGGMgNAOmdxdpumRTAgnZlE3ZJJu2IaSShF5sbKsXdxNSbnZv2XvvlmQ37/mNDCHZ5H/uve99d99/dnV0fIzAWCONZubze57v82QWy0T1R+DGQU5jL29NV2h8NP2/uUPMCP80bk0XWbCGFOx+vo34kLf7F8vXnFix4eer9l4r7psrwL8sOfl5/aOjedJ2BgN4zYDp2isyIKsxf9sFyckFFm6tO/1Js26mGXe0oJbGQWPtsVvSnS9ni7YGRKfQy0PgqbkH5K+o6q/a8kHLuX9uf+web++7JZt/WbDljeyeS1XoZzzdv8LEJ03Ix7KNRyJjo+5fl/owg3PylEfqd51NzuO5e/r7+ngFL1mRIuxa2Y7lt+kq246Vws0+QfRwNb09DHf/4KSC8oYDBWv0Bb2/4p+clBLW+sPXZGufWVW8yS94BeTmEQhBOZDbWqbf9eiEP8X//WAk3Rv5Q6ZWs5wmRim4pn9YJgKGQxHm4ONTMGZVobc3UB+mloBjijut6IOd2y81TKYRIiNS1CDGDDA2IcINQtwsBBE7Uzx8hk3MsolZDrjPcIhp1x95xKQIt8GoSYpMyJA7amxE1n+hateZyt1PlO55dvW+51ftfrpk92PCA2fYnfvpAX1QOk+3BYKmUSigirX7fMuZOVB9rpmSEWA0jg5QNYGpLQTclejiXQUO6yYFagJtH5gNFH5gVjluEg1crdj7alnvi5V7Xy7pfaGw9xe5e98pOnZNjZ6vauoE+5I7UFkATAJxxB+KYfOAGjkrJEG8p5QAPSgyzChCbTzMyUMdEtTQqTkva3rEA2AkeLZ0vpZvRPWeuuEpHjkvwKclqFUGojhBjMoDhefhb/6/wEgZCCYxqbGR2sG3c5WbGNFRYKOAbuUG3B3hpTVbn+f13RDop9j6GY5uSkQ6a3Fj1+CbJZw6Px8/nweTdl5LVrUSatIkoj4RUZ/LybuNlL1N80HGapkXfZy9387kAQVmJgsOqnGjCLw1M3+BkQ4pqF2xy+mvUjopVILbJZhTjjlqj1xSbXtOvfUZ+fbneTvPl+/6qObgpTrsCtxzAvIDx6zFgyb0f8bIKQk+JcbtIkD7NyTdg8HefvRGA55hFjUU7nmFq7PwSDuMWyUEPQ95n5pcDPk3MbWKUbuYmBTgTi5qkeEj8iOvFss2Mtx9QFYx2OzoSNEx1qFLdIS3kw6bAW2ZCmxcrrnK3fOL6q0na3acq9zxXGnPS6x9b/J3vyzd9bNsQcfikv4i0H0HI0X31chFEZIeCn3wCrge/K6v1S5GbTLQSWXmHrpU2ftG2c7nSnf8rHTnU4Xbn1l96OPygTFV3+srKukya/qITL9hIGInpGJXzeAkd8BWi4wr0TsSfBwwPzolw+blyGyd1tSqvdI9+GJOtQRM20BQCMgaZECM1IyOpwA2kzMwCP794Q/ODz7+D1Pr3yua/d+03f8tjCzX/aac7o2s04CkVhXAyDtNh1/JqKgNDAu+7x9nQnmt7FNflp/+z1JkUtRzNiw48D5GMj3jSxNFh6TYqFhn41EWFjXJoqaEpBHWXBVhE1KdU77/9czS2mC/ABDuCg47wZ75GyT6T4RDX6qHZxWP6MN8QIkQsPQxfL1TWDnCRxo39qUkL3HZ6RluoH0wwDfBPzA6KiEhICwYODoZHu6QnycU7AGF+gYk+8Ws8E4oLqw9sO7QC607fy7e/U71EXOV5rMqza95g5/Uo44u9MP0MrXrx3zdITDO4JvO2fxzJXqZh3zARy6V7L3A6x9tefQL1dCnMD4lHrwj2fv6Ks4aTybDlwGeNtPLxydLUbr+CVX/1Yod51f3nF99cKQa/1x48j955D+zsH/j47/p1I81bD0eEEFnsTIYUHBCSeehgobdngEhofSVLkA1bz+/yKSA2GUBsRnBcSl+oeEPzkCQT5h3ZIZnbCEjrb3k0JiM+lStddYe+lC26fRKVqN/eAywhngFea8QxtWRmbuvFmOfV5N3eYSFQ1hqSEc15aiibNUUSL2u14x1H7p0cNurDzBSQNplGkstalUvYqSTQ8yyyGmJfrxt6EJGyer70bve0PK64j5j8Yl/X6n/bQ0x2YRfzGbXuuy94N1z9wstaCve/JJUDww4NeSUgATWSimo4Z0Ua0elx8+XNWzxD6dfBC/vQNaWAnS66MRvS4Z/LdHZO7Tv5pTXL55/IDfIIzq8oEW885UO3Fw/aBAcusk9bhDrP2MT/1Su/ZyNfSbCnGrkcknrEYgJQlyBR4nJcPP3S8jPXZqznEnLoyCnx3tl9rpfCIZ+XaH/XRXxpYKyyzfr/f1oWGN6eIXlsFr0rT0v5hZ1+zBCXVG5EHNJIO9oqX5h2cn/TB7+jwrSXLv/Z4mpWV60Kw7yCMjjdyu2nAmJzAhhMLzAdL2bd0C8d1S2X8yy4Nj4kIjFCByGhzc9KgV5B4cHxySHxiSlZOVHx4cDhARTM1FQKMw+NMohZ9g6S/uJD5NXVrm5LNxgWn95PG+XqufF5u6hglyeO70U77YErtx7g6/75xrqX6vxeT56e4loG+hdhKBQJuTO9IZ8sou7X2Ah4EpYjBvbtSN7Bq73bn2lZ93P1/e+rey/LSJsLGCUc0pRuxR1iBE7H3HAWuO6vl9VVyoivf1okPaAoBgopY03YKoh7pbjcwJkrHHwfBHc4jrNQtFLQ4XbK45fF1JzIvwuqMXGpiTYlAi1SyizXDeiRD/qwN9ZUSaj/z3QNr2yuqQag+L0FzzdgpxydulGs8uawBUSgDZGcubqhu59xRUcX7oBD5gd/EODw1OjozMTotIjI2PDY8K9vMBbChL0PbwZgdE+sZle8YVpou2Ng29K+t7O7Xm54MjVmqEvC9DfZmP/Waj/t4ZH7TmSjeCY4oq9cPeFgvKWN+jXPG6tPHJBfvx9xe63eLs+liILYt2/8Yl/gbU22eE38ySdTF86SRc8db+wZHlRy89aHv207cwn3H0fVvS+X3HgRv4+QyX1b9W6/2Djn8vQUfnex/3jlzDp3wL2KkZ4dIaqfcejSdlciOnh5cv0DA3yjk8JTsnzi80Iic8IjFkKQubBDXxovJgeQX6hwVEpXtG5UbVa0VP3hNobnPbhnMKG6JBUd1AEyPCCfHJ9lhyOK7uYUPiH+Khvov6+Inb+cjbSTEfsLCZnPrQe5bgAACAASURBVESS4BFaf5iUodY6ZGQjdSmlpAmMw9Oja2Aq2jc9petJid4uwcxC1CAkDDzCwCdMAsLOx6c4xFw1vlCDL7CwBRY2x8Jma/D5anyBi82I0UmFFox2KBGTVGsU4RMC3ThfZ+LrLLxhezU1Aeuvr3/iOryNhNxjmZCvHw0q9KxVNBRYydr9ZsvZWRnmkGkm5cSsCOgqVhEBuK4WMakRE6BH+q5GwSMq1KxArQoUTBrI6aZ1nsYMfDXDc4KTc8pzn8InJst1U2X6adXQx1Xtm8De5A65uYEJL7BfMf2hGA53YEQ8PCckXGlDVjlmVKAGMWoVoFMCdFqKWDoG3lK373D3Afut/+JsiWdkVW/d0CSPnOffx0j6Ofzw1fD/LkZKQGsFnXSMTtRpLin3/zydrWJGBC7KiyCBNQQKr2Dtfh0mDbzhyRr9FG9oSkJONmKmjX2vlVbALmMvbehgQN5LVrXiasIAU3dh6jMZebdBZ2/WfpBWInOlO7gESfBJ9IwPKdmoxMaFxLyQrvt7mCTBejCozFq8y0AviB3opZhdjjqUqKOJnGolZxrxadXwF2zqUw7lrH/UKN5/DgoBi7vgUw5uYDbyR9RIO5h1BG+ThU+ZxLpbDb2nwv3CAmhjBgR5umXyV3QOw9S4kDADNRLYiqzfstN9lHLh01+n8MNFQTBqF5OTPNzG0tyRaC/zeh7PYTV6ui/OdUJQXGwtyeu/DQ8a5ZhNSYCGSQVqkqNGKTohI+5IqNti3QSstwl1kxL9tJqa6NRfypVucg1LLg5sfFeNdGGkq6TnB1+B7zIk2GnFYNTZIcYmuRobrJuGhx2y0/a6c9MCylA1fLeYuivTvJ9d41ryBKcjeudxg6CQ8PJdrEEbZ8CgQm8rsNtSfAzGLSJsUozPSdFpNWJoQT7eqH1hJUcKMZkeDCgUzEi6QVBKZsc5GWkFKSB/USD0g/T44MF/YOT/TTj19/pcfxAjF3sj46FvHlIjD3aeqaAeYCTojVRqLXWooWXw3RJ1T0girX2BJXuIkdvMPfll9anfViImeKsuNBD4u+hlTZ+QFfLspmEFZRYPObiUlaWbrKEmheSEDLvGRyf45JSy7+Jq6eaoKCBg0o4Vf++sDtGAU4R/qiLsknWaEG8wFgbKe5legTmSmnVI64Fz2ZVS75AYyCsYxDa6+dNfPd29vECnN7i5e0MBPuDu584MAN1sTP/ccrG6uSevuDFPgZf03io/Nl898Jmgf6ZBM9GteXtFqRyEd7qDthAgSnql8jY+Xnf4F/mN+5PEuxLkg5X7Lkmpz4TEr4XYFxJsvoUysRv2utAFeJe8mN7RWbn8DYL1uvDC9dGC47k9FwuOz9UQX/LxTzn4r4W637QNjai2HfWNopPmwMVj6Oq1x2oeORWSVuHvF+rh5geBuy+4YoQ8wVIyE9Thuq4I6G3ygzxDQSR7iHhV72iD7l7TsRuq7sdXlTaGRrjiOpgecfnLGrUlx26WEveKqX8up2Y55ASHstRQM5XUTAU1XUk5OaS1Vju2/vDHB7Z/FyO1FjVYvjfLUSuMObjENIuclOjH24ffyy0pC1r0OrpDadJVB64Vk18U637NI211/a+vqBTTrzn9JSgxTrC/fPcHUt0Cj7zLJuZA5DU9qiDBLGLtqKz/IncDFrm8AJxamW7+xWtyjk4U635TQf2TFLe0Hn0jr0Rx30ALvDxpwl21+3/Vevgj4bbzJV0vs3Z8UIfZ1dSClLwn1d2Tks56/GZZmwZyj3LlXLhMTynlnEpY4ONBnw4YXpDHiux1zyv192DyCzZ5Dx52CDdjAb73V3o9knPryKYDb6+GD/l6RtCjLGA9MYQ7WEN9ljX8xyXDv6sgzfWHn0jKyPRwxd8w/LJruruOXEjOUfoHRjM8ghiMECAtQnEQFMSA3DzAcOP3bm5AlvT0X1HOzSrKBeopMLWGQSF87v5roB5cN9KCvpyUtdLDhZFMJhRZlK7E6vdd7Nr9AovV5E7LhJ5p8rLe60LdZ2zdfCXIWBpNgnsgyNubjpUC0aZuqQWdz1Rrp0E/OT7RjtzeM3Ctd+trPZ0vrN/1nrp/BMbtHGJSiE/J0Uk5OilFnCKtU6I1rhl4i6teHx8bQ39ymQBxE1WcvhEWOV+BzUm0hrZjF1Zy6WlGCIIyy5PWYJWaUQE1K8LmJOisAp2Wo04JYpWRRrluRIFeacMuLi8HcjodhxccmNGkOHpdpZ8TEDMyzNimeT+jCOw5tPjpnrSiqnULypFvCIpMg9yDwDWwWwjY2xn+nm6eXp7eHh6engzw8fAAsUkQHSbiB0FBsatkq+v3pIm3x8gPr9p3Xnj6XrHm0wLkyyrqi/aTE0VwF0TjA8iO9vJnhGTnqo9vfexqftuRdFZnakFzUvWB1TsuVyGflaC/4eCzzfpbvK4DbgFgsNr1FnqE5GfLjiuPf1h79EKG5GBM5c6s9ieLdl/l6j5nE58K8CkFMQLvf9o9cRkdauLanLDYVGX33mczqzq8o9KhgADI24ueWXZp9j6QV9h9vyOQpX0Z7gEevpC7D+QRFiE/LH9ypmbPc5mVtZFR8YsrIQw/yCOdvaLjZ/DRq9mq3yUmAYwMh8DXUPDNtfRI+8svff3V17/5+qt//dNXv/vj737/x9//4as//uHrP/3+6z//4euv/vDV73/3xz/84auv6fsfwV/98P0r+h989SN/+2M/9Z3Hof/iD//x66//+PVXX339xz/96as///nrP4PbN3/+8zd/+vOf//TNn77+5uGk1v8WRpppFJmUo7Y65E43dSW5pAWCvDzooDYaI5ev3PG6CIxu2wSYmU+ZuKSBQ4yDZCrcQrtYnUIwm+cQgrtdQH8jpllOqTWptEal1izRWgWYg4NPcvApLjbFpeZrMKeENGx6YgLeMgR5xDMhECAeSOvgtBpZztrzRsvZKTDAqXHICZCaA5CAMMhpjKS58VuMpKnSokRtStSuRO0KeslHhE4LiHkedZdLLfB1cxzcUUHNVQ7N1Q5dqenoAccbF0MuYqQfFMtmD4yKh+dEoA0Z5KQrMKMSnQCjnuikEJ2RIda1Axdq1/YygHQKMJJeQ/rbYiSImZZhViU61qS5KHyECkzOBmdm1w0EkwVC4RX8A+cVw1bekJOjcwoohwx3rCEsW/pfK6sQgmP0IrkxIe/kglZUTUyIqXkx9amMXKjT2RqR91NLpW4MsLH31Uiw9uORv0aGjv0YRj5gSNc3MvCOAIVWjjrEoL3jnhj7TIzcE1BfluOf1ODWhtNjsv1noWDg0b+PkT84G+kytT7ASDOfMkh1t9oOPh4dHB0MuULnPRnheVHs7RLtVQkxIcRB4QfAyL+1GilBrbR8auPhJpiagAfezWk4FJdV4evlDSz+YLNjUtpOyyizWGOS49b6IQe9B5rkqAkYg0EBo5lD2NmEk41Pi3RzCmKsQ/dBjmS96/D7lxgJWlKIaRj4VGlD74+8Ag+o7ME3EswpRqeF2JyIvAvWPvUzsH6Sh9mq9F8Uk5/LNRdzqr+HkUwaI3eyB62cgQklduthjITxOQk2rUQNzchH3ZrnCnly17scBI7nHgAj2x+Xkhb4Hxj59wpaP+3t/kuM/Dap9buzkd/DyFrEJtfa5KipXnuZt4mMXLHq/oGd4ZVdp9AvyE/clSJXFY/0hQV4AtEAYkLu0WFF6wo2PKc+OS0fnhSRRillllEmpW5Mjt/gIhN8YqoOucnp0MSn5Hi7ojUhd990hWDvJUmfobb/mqh5b5AHjZfgiOQZWFgvOfDC2qHL1ZtOLBM+klTWvrSoJaWoYWmhYkmBYNlqXlRaPj2SwvQHJOnmATHD4zJSVgnS8ytz81YtT8vw8wjyiixdUXtGetyoGLQ3DY6tPf7u5qNP5hVVuzMhX3fI04MJeYS7x1Qqel+QdmtDkjLdwlN9lgtWrztbh5nr0MlGrbNea27DbnJqe0A6F328Y7i5e4UmxC7NS8kqhdyjmFFFS8RHc7e8yT58Q9Z/R6CxisipZvJ9eMMOr0j6RM10d4/Pq+55HD76Xk6dJrWyPS5fkVigTipQJOYI4zMF8dmSlBxWSnK660wH/KJMn+i00rSixviKw/zDpg7UqNzw6MrVtUGBsbQNkAFBPjGrVA2D7yuHptjYTDUxx8GNMHFTRBk55FQVOV0JMHKSQ9geYOSRdU910LORQI0EGOlQIuCKRYLZ+cDX6pDoTe0nruau5i1aiCGIuaSqtOcl9uC4gLA36UcaDpxbUVKzuCcw3KGowtSWszWHbiqJGTk+BVZFwWr7iBS/IyEMsGZMNnBTtu+ltKpWGh/cgjLFhT2vswfNQq2jru9ay64n84uE90dgmFBAanUH1dV3QdJ5KqVwfWSGKl94qHbnyx3IzfWPTrYMWRuI0XbtRVbDEXdmsD+99O/F9PUOTV+p3MKrbw/wvp+Sx4zNbdG3EhMtuFmKT0ipa3D3/nD6fYA8AzyXsFesPVevvVzegnoEgO5H+hYbyz4owSYr9J8XDM0L8Y8b91NxGcvBX7l5Ql5JOeIj6zSjqxupVFbn0pKm1PymlNzWpTlrUrMly7PK4hKSwBAWMGEx3EDmrHdodGZikTSpTF3Wum0ljw0YBWCKDxS8Wr7nV03EtQbsrfbDQ8mpQNQCZMXwhRL4Re1Ptx6/s6nvPbZ8M1hlgCDPFG71tl+pSHClwSeuCrXvpHDXMBlMX/oikOHmB4WVrt78Cgeb5ZLTMDbeOnh9z+C13q2v93S+2L3rA3X/HRdGCvBJGY2RcnRSrHWKtaY6zfu8DccTM3PvE3AwFFPJ3f+GjDQJUVPDwO11B17LrXS5rD2goob0TT+r1IyKSIcUtdXhjhbc1oyZGzFDHTWhokYV6M0W/Ep6uRI8Z/CquUeksOt2/7JRe1upHVMPXGw68GR6bgmwxwJDbmDocnHT3hcb9zyXLdyWsKpuaYE6eZU6aaUqOR9OLeBllghziriRwSAgGpAVw8M3IiWjRJ6SI0gtkoUvLXAPS4bi8qOF22oO/op97Dpn0CAjTNtPflgjBFI5PXgMuQfGBKaxxZtOru97Jjy9yCswhukWzAxakSo6XLn3YrXGDOOjbdT7ws7t7j60mkP/IigwM1u+W77rsUJ4XXBsBuSbHLRCXr7xKTVllCOj9ci1ZvyiqPdRZmIG/XYzmUwfyCMtu2xH95F3WJ2nMqU7EqtUS4r5KQWcpOzqxGx2So4gJqXSwzMSrKPQ82geTL+Q6OUJq+CY4rq8dVQd/l4atzkoMsYbxKjQt9D0Jas6t7b97OOeF2/l1/5nfByYjfy7wMgfTWo1y4E/0/SQDumytgKPKJhkAzu3vRYd66KuJpS2uqwuiyYZn4yKfe+IQdupQwDyV4084o6IGpUSNwVH3+PsfpW362X+rpf4u17m7folr/cV3q5f8ne9zN71Cmvvm1LNdRk6JkOMtLnRKUYnJYhTijgl+JwQmVZhpg0nRuWbT0Ae8W6Qj+uQRKuR4VBAOXv36y1nnVLMLAP5okB3EhJGETEhxwy1iOlhjFShRhUwuFpoKdKhQJwKxClHJmXIlBSbkROzMmJKhFj5WhObmGaT03XYx5w1u13nXLDLAGM4A2J+i5EwAbJYFDRGKr7FyCkZYukYvNDyyBFQfvCtqdU7vGrR1PrXVyNdGqAMs6jR0ZaBd8ob9kNMOnvc9VEAB1VfKLJcevht9ZBVoHPyKQdPa4AHjS24eWPfq4XloBfkPkYyXBhZS46LqXmYuicj52t15nr03aVlYtcYqM+3jBcG5bZJ0P+SGilHgThJ65NAjYRBJN1dIfYJjCyIyM9Y2KwQNXScvF2/71EoKMb1Eaa/AlOrfHE2chY0c+JmGAw6WmhtbVGNFJAGhf5W+9FzUeFRrvoQ+jnGei6r5R84D6O3BMS4iDD/oKXzr6xGSlBgrxUSFpHOpDptlA68mcTt9AiJZ9L7kh94s6Jy1z/eeHpSpDWINAY1ZVXgJgVuVuAWBWGX4HYBKJx0CHA7H3PI9dN11M21uvOr5J20ORsYmen1g0VTax0xIqIxkq7A+e9hJIgaRifl2KySWFCRcypqWqK18PoNPOqzKvzTOs3FnKpFjHSlYtGveVBYxU72oho5ogDXMWNiAPAghFCCAoxsQj/q0jxXIganGQYEBXm49r7UzPYnpKQNJqdFoID0h2X8H3z8H2rkTxvAfhpb95cY+WNJrQ9jZL0GqJFSxA6jVjlyE977fEpFvZd/BH3AZvokcYQ7Xpfse6NmPVEONwd608tQHiHuMSXRwiNle99TnpxRD9nh4x8Ldr4E9zzL7/1l+e7znMExmX5WhY1ztzyZWqr2DYl0HdG94ouKGpDKdY+y1lGrWbW+Lrz0CfKIzIyDe0V97zaessCam9xDH8qPXmnqv97U92Fj3/n642/UH36pvG4P5AmGEVwNgQyIkVbd2Dzw6vpj5yo4Ih8fb1cnXliaVL7xnHzzU/VbzzZt0DS3b8lITwVXqG4QMyjGP4WfyNvXpvlQ3HEsJBSMMDGDYjKqG6WPnKzb+lTT5qfUm59QPjJcxlb6gI4Od8gjxCMsNS6nOjE1NyQwGJzCmD4+MZlLOd2VbRrxplM1W58p2/kSb7uuQCR3D6G9lH4xiaLtgmPvCRCDWDMqOXpRsO8t2dEP5Ifflh34lXDfeeG+8817nmxq2e5Pa1M0VwRWNR5eR96U7L/UePRWU8+zheVKf9+whxRLv6UFqpZ9v1Duu1Cx5eXqna+xel7g7XxOdPQDEWoUkHYOYeOQNgFhqdOMrT98ef/21w6ve/JhjFRhkwpkUgHOjzYh7gDp9zpHAzVWxFsf5hXoTa+pesZk5Mt21nSfEvU8o97xKNy2I3l5Dv3GeUF+iV45rSt3vCfsH5McvszveZW35ee8nqdqep4s3vos+8hHctSs1Jpr+68UNWu9QzNdvYhF6v28jY+LNj+n3HhG1rQvNb2APoy7MbwjQ5fBLftf36x5t1K+NzAkG4K8I+NyObKt8g1k7Z6nZb1Pi7eelXeTheXNngw/UJjmFewXtzqV2yPe/YKkqy8hMd3H00WF3qnstbJtZ9U7fy7Y+UT1FrxKoga13eAslxenOF504P26E2OcnseDlq1igukGcK0SsbKuatPTZTt/sXrnE5xtWlZzZ2B8IuQZ4BaVE1m4dvX6F2RHx+BjV4RH31Qff6f1+EfNx643Hr3RfuR8176zhdUSd7CWArmDikhfDygmh7tVdvQNhfZN6dEny5u7AiMj3UCxJcMtYCncfky9jZRvPq5s746ODgG/nOnBCEgLXtnN3fpWm8a8bvAKd81AYFwW5O7tHpWVr9gn3H6Kv/MEu0dXtaEvMa/cy43hBcpA/LxiC0LKt9ccuAxTc0IdwMjG41f2DFzbve1XPZ0vde+6qO4fE+F2NjnJB01argshJwg+QMxi5AZv/3PLBM3uQeG04dYDCksrbNov6HkC3vm8fPM5cVNfcnY1xPBhhmaFwMeL97/HxsbE+Jj0+CV+zyvynpflO16W7HyFv/tX/CMXFdidBuJmoewRX/9A13sQHJbMbdgt6h4SPPKYcAPGa94auyQFbKy7P+S7LKRoY+3Aja7TdlX/R/C+1+uPv604fF525Lzi+OvKvl809r3ccfi55GVl4J+DK4vQ6DzlJuLdtkPPF8CP+NDGMYjpBYUlp7Bbq9YOVm8aFmw/07FTW14Mkm+BRdUn2CelPFvS293/Zv0jZHB4arB/CH21yYhMKihU7uL0PCbafVa6XbtaIPb2ofvbPX3cQlMDs+QVXUjTvpOpOcWBnkyQ5eQRslLQKd1+WrxlWLGFkm8ji+t7mFGp4GDIDIRCMyOzWvhrn12HTKj7bsiOfyA5+lrt0V82H3lFfvA1yZELzUd+JWjsDwxZ7g7szpA75AUxY4JXNogO/VI8+J6o91x13SN+oaH3Z4tcHqkSXvPgga6zF1oGRzOr/hgfBhgy4u9BjfxRjDTJMYMMM0ox83fvRilgy/sYiYx36a7GlQE10oVJYPHIZ3nF3gswHVIiwq1CbIyvudp6ZqxOcyG/7nDSKkVCDjspl5OUy03M5SXm85NyuUm53Jg8flRJa9meF4TYTRiZUCI2JeJQIHYFYlVorQp0WqKdrkXNG4ZGFFtOQB6xHgzPhzAyBAoo59AYCUKANFYF4QSjyaDs4TsYqUQAQH4XI50KZEpJ3xXIlBydUqBOJeqQIWaRdoKPO/mEswH5kNuyB6zIuPIiQeOIGxD0aTVSMjQPE5MSgJE2OWaUYwYxHWYrxEGGZIf2nTXbBtx8gJn/wWxkeNXeuuHph2cj/2qm1gcYWYeMtA+8Va7qcS2rgW1yXapDvlB0heLoe7V6q5B0Cgi7ADXCiLkWNXb2v5lXIXeFndDUyYB8kovXkrXUuEQPMFJKzqp1pnrs3aXlUiadJnR/1RCi06Lbxdj4d2cjnTDmpCOOnNJFbvzW2vpAnxRjkwJ8RozOyLTTMuITATIj1xo3Do+27H6MGQjUyPu3Bxh5l4fPCAiHCDfBOCiwobd6kvZAWkSkQaW/2X708bDQiAD6UobelhCPJVLZ8XdF2E0+OQbrrCKEhs/7dlaXvfOvjJFSzAbjdgFhFVIG+dCtBvx8ck0j5A6MPn6ujxwUlbvubMNJO0xjpAIHXnQFblYSViVhlwGfkh2m/xMRbpfgljryatfQm6vk7bQzGywHPMBI/5Vt9fiIq8kKwCRoo7Y9uIPNdymTi96nvyQ3l/3YqUan1IizDnMqNCbR8XEReZeLzTcMvpt3X438C4y0c/qNanRUCTCSno0E/UCzUoCRxib043Wa58pkiy4dukfEA4JSMztojKRA6esP4uKPPfgPjPxpgNZPeyv+32CkBLPzcKsIm5APXOasP72sqNHbb4kbM4DhnRSXKVy6Shq+ND84IsGd4Q8xAhkxpcny44U7fiXATXzM1Kg3VnY/Hp8FJ2RURWUpQ8sPVR29qT41L8HNvMMXqzc9uqS8AfKLAhUJ3uFBCbnhKUWRKavCIhPcAKkFeqZWp9cfK9/zspgYEZMWCTUFo2Bltla/UEs563WmesrSTBk5XcPugUvdXCceYPALiuFubXrU1H36Wv0OfEUJx90vnMH08nQPTU4rSskoT88sWb5iZcqSlEBfLybTm+ETGbKyLqvj8er97zYSNzuPv1gpbPIPjoQYjMCwmORlBcsyyzNWVKavKF+6vCg2NgkUPbvHeCZyE1lbarowedfRGrYi1DfUgwmK/3zDYmOWZKasKI7Lqo7IEcRklQTGxEFeIZBbqHsih7X7VSE6ziNnBNS8EFicpqTkjJSYkoLkhTkBMdekvbZ2xwkvBljU9oY8mL6pFevPdT39r3WDE4L2s/mljUGBYSCOlEZ5Wv519w9JTlhWGbucG7WcH58ric/iJ+bAywT7RAffV+MTMmxMgk9I8YkGzei6w1f2bn/90Lon23vfEuhAHYhUa1FiTgXqpC8YLDBu4xMOATkpw8yKbc8UFSl9fcLdPX3cfAIDIpfGpRcvzalZumJ1QsoKb78gYCr2TQ0t6MjofK5m0NY0bC9uoWJzpTHLy2MyKyKzub7pssyWx1uHZpr0c0p0XHTwzVzZHt/wHMg9LDIhI3l5ydKMqtSMsqQlOT6+oeD84xkdXdBQvfaxTu34RvRm7dbHqvlrQoNDAffFLE1Iy4/PLEnKqUzMLE9ILQwOXgoybryj/ZbxU2rRqj3vNescawc+ENXtWZq60s3dC2IwfCOT4pevTsmtScqtjFiWFxUb58dkQm5BzBX1xXve5usnZSdsMs37ZeuPRawshjx9IaYbMzAuPL0sJqsiJqswPjM3PDEJ8or0TKyKExzkHvhI0DfB7TMJELOQmJBS1tqhWfXQJ7VDC236iW78rVLJWlAQsqgPBENQelYtqdQZFMPj9cNXmwaeK5G1RySmu7l7enn5JaflLFmen7w8JyklzcPTB/IKhIKTk1gbKzuflu6/qu43NvTfqN3/akXTgeDkPMjdLyA2PX5FYXxmYWxmQWRajk9giAfTG3IPc4tfnSg5VLTzArvfwNPYBSDi0dA6eIOejXyDViMfwkhiESNlCKiFEyJWDmrhoHeqep9OZjW5hScBj6VPcFBSRmxGSepKbkpWVUxCjldAgltwTrq8v2jHuzzczNcZpegVeNdz4culcRn8hEw4NksZmbt2ScNpOX5Hid1Q730it0zk5x/s5ubGZDCjE5fFphXELS9NWLYqJikVZDB7BUOBGaGrOoo2PCvFTTLKJiHMMGZU6J1iyiHSO8XDJtnw7Tr9SCt6OTbfFYLgBzFTw8p2rDvjbNWP8rf9LK2k3icwlgnUWjfPoPCYlMzoZSvjMopSlmXFgGFpb8g3MiRXlNs8IN3z0iPolTV7nufV7qkoU8SHxAa6+/owPcNili7JL0/OL4vLyAuJinb38IU8Qj1jVyZyt+R3nVYNvLlW+4q4ZVdaSpaXZ6C7m2dwRFzyisIlKwpTVhQkZxUFJmRC3jGQRzQUmhvD2c7tebWhf6IRnVKC4gCrmDAqCVMtaRNR0/yh+ZZhm2LL08HheZ50PRm44HJf4V51mE/a1z7769LmI9FRsQEewBG2WGXvwYRCEpKWlVanlOyIWXY9JuabBF+AkZE/cYz8/TfffP3N9zHSoEBcvZEmOTYhwww0NAIFcvGOL2KkDJ1UIrY6ZKxLdyWurNklibu4DvJJK9v9OhCCwPWrWYyNijWX1p2+od73VGyuiAF5AYKnzQJA2KO/X4xC9o6NUuwtPvIuXzuu1NqVWrsCsSgQo1xrAJKU1qFCJ9YP35RtpiDPSHcG0/9bU2swFFDO3f166xmnHDXLNVYlcJmaYdwoxg2Kh0ytSsSoRk3q76mRKL28B1b4pmTopFTrAFooZhFpx3kYWO1rRC7yW3ohYHug9WsXRroFQLEc7sCYdGiBqD/v1QAAIABJREFU7vB1KHC7HAMqrhi3CeiiPylmaUfebdk6wKAx0m/xxOlLq5EAI/9WaiSdq3m7s+8NTu1WF4/QTZwujgyEYlmKYx+q9A4+OcUlnAIKNLXIcOsa5KNi8Sa/oCgXTYPVTZ/k0vVDtfoJ8dAcrPtEjE0pCGMDdjGjpsGNjlyi8xho8PRP8a7YKsYmhHTEDgxG6cA0nQibEmHTYhCW66Ajdn4QI+0iHATwgF0CnxdqZxUay6YhY2vvz9wCk+4zJOD0+2rkAg/0mtpFxHcwUoJPArGLNCj1N9ccORcRHvsQRvq7p4rVyEdi6k4NNsoHHSF/e1OrFLMJQduqjUuMicmr6099kMFpAKvo9JIETYCxWWsfrT9hlSImidYIat8w432MtNGZtxYYtOnYABkixlri6vrht/Klba4d+X4sOFAjA1a2NeAjYOyZmHZhJO0/t9E/S/Mk+DiD+4OUne8NScqBRdymQmxKjUWN2hUaE9w3LiJmudhUw8BbeTUS1zv1PYxkDTq4/abaRYwcE+NWMdgfwGykilYjOzXPlcobXT9Lr017QIzUzI5zwNRKTf4DI3/aQPX3uXX/J4z8cVNrvcao0oL2LC5uFuAWOW5pGrgl7f55dumGxFS2LyjlCgCrn4B3wnxD88JSZbGCo5zDH6lPTKuGZ0Xa8VbqTmXnUGBEupdPkEdwVkD+jppjN+VDkwLCJgA2h5GqzU8llHdGpFV4BkSAPgQQZcmEPHw9I9OCMuFk9aAIuSIdNkmHrELatSRGnFytk4VO8RC7WGsUaywKxCLY+nT0ihpPn2AmWOMP8UmoSarXCYadqkftTdQVUe/Pl9ZsSMqoigqJoFPE6MYicOL1dPOLDltSmVC8bmX3cxWIiU1a5dSdJuKj2n1PZrEa/cLjXFOKQH0EdQyuVTI/75BlIcvVKVK8pve8Unu5A7vY2Hsut7IlZVlpeFisu/viL6GPMCCOEvIM8QrJC0xVJEu0KtwoRK08YopHLbCJeQ5+l4ff5eMLfHyhhvi8hvhcjkw0H/xFVHKJt2+4t9+S6Jz6ml3vqM7+tg4x8lqJpOWVLt8H7Y4EJUj3S8O86GsB1yUMmM7xiGXztr3YiN6uBVPio3JstEEz0nnk8t6e1w/TGAkSIii7BGCkjY6aN8kwE4yDPkABMS3BHK3I6Jo9Ly4vbYrPWB0YHufu8e0SLuTm7R4YF7CkMqxwffEjr8H4NKy/13HKWt58PCIpy92bVvY8IgKiq7Jrz6zRT9UPzUhJs1I32jD4TiZ/S2Dk8gdbQb9Knp4hiX6JpWGr2iq2/aIBszbjCx266bXY9fUHniwuh32Do4BbGfilaXAGoOYN+cZ5R5eGrVyT0nyydPAOh5iXEZ+2k1Nrj7zLaziYnlcdkbDUHcxq3D8/gKtDL8/ApMClcJycFKIW+ekvhNS0TGes1V8q207Fl0kj0/M9g8Igejekfx8T8ggOSGQtkSCVOy6qCJDjzdIYBWAp1skhZ6qp+RrdAoeaEpOjddjble0HItNXgboRyBvyTPVKUK3c9LJsyCkgzcohc/vpiaZjrxXLt8alrwoJj3DzoOvKwX7o6x66ImCFKKJ6k+TQ+VZ8vA4xKbUm9eBYi/ZWx8DbBbLt3qGxkKcnk+HCDLA+D34qJCsgXR4nGyze+wGPnOSikwIN6CkQ48Y12tE9Azd6t/4oRkoRuwyzCxFbDTpbQ30qIkzcPS8k8bvClq/2iUqiX236l4CX2o3plxi+aqOq/5YIsbFxC5u4I0c/lPc+ERZf6OYdBa6avVO8YwUxcr2CnFDr7jShF2XbT6+oqotdlu8TEkV3gbquzRng4+CX7L0MjijfsnrTz4HvjDCyteM80somp9nUpyzdFyzd53zdtJgal1PjKuzGculmr4g4yDsJihAk1Z2VDs1IhyYlyG1uz/NZvO1JWXBoZAYT9K+CG7DKgp7PsMCk0ojVbUXrH5VrLzdhI2u1t9dqr2/CrzRvO8fmb8xKr/D1DF1c9AYVPt6QV6RXeFFYZlO6ZJCz501e38dy/GaL7nan9iK3BVleoE5MKfLyDWGCa3UGLSh6gk9ZSE5QhjSC31t56ELtsKOWmpMhMxJ0VoRP84gpLj7DIRbKyXuluk+kQ5Nw7ytJeXJPnzCwTzKjoVhZUP0L3KFfdz77+2x4K5NuK6ADzOhlIia4mHKHoCQIkkHQuz7QN3EMIEX+1NXI33/zzVffLCa1vrip+bHtBy+t0U4oEKMYt0jwhzASv8+QmElCY6QMtSkQpxqxNiB31lOXE0oBRjLpGVmwtuOztKz3RRExDoN0VjOMj8nQ663UZem2R+Mzee4Md9dFMD2iDkTM+3AFQT7R3jUbVh54W4RZVOikUmtTIEYFMqFAJuS4FUZMKuxW1/BHsi0ayCvInQlGDekuQQhihEIBZdzdr7WdcShQk1JjURIOGHOpkQAj62hTK53UalahZtrRCkyt9Gykg7aITCpQpxx1LhopgU3OLNCOcwkHl7A3Ie8LW3ZAoCAJOMgZrrZKt0AolsuhMVIMjuNOBe6gC0VMYCj0W4x8v/k+Rt6fjfSLqNpTd2KaR849wEglGAL8S4UHPPK/G7HjUiMVqLkJudV1/FW+aiO9Tkp/pMEXYEWAYnjSY5fl+mkOOVdNznB009X4FBe112lvstvxtDwWfQSgv3jGF3QQcmJENDQr0t0VoZOwZkLR98GKqjVekGcgTTvg3zHd3VPLkus0MtIsAF0sszC+qEOC2gZsVgQCxFzBP0DU+t4dhLjgVjlqVWltcnyer52Tauzrh8yNvU8zAl25Ba5n5BOYt0aO2mHA51MCUCfzACPtYswpwZ0ujFTobq45/ERsdHLAItgDZz4jTSQ89o50yMTGTVzUJAHDvd9P2fnrq5ECgJFOHmmUkte3PnZppaCFCU56QNn2ANdJiZmdNEZqDWKNQQE+tgAjgakV1IhbpJgJxsxCum4HRs21xPX1wxdWytpdGHm/Rgy0GAcuYqQTBovuoInHhZH363ke4kncBrvKP2i106X70VOsNiVIEbSptNZazKHUWuDjEzA+y8MmGwbO59YsZjzcv0wAHtWwil2sQSe331yHjqro4RxaOnZh5MwDjCyhMZLhioKEXBhJz0b+AyP/PjHrp77V/zOMrNMYlcDUahJhRhiUJznrEEfDsTvq3jf5nfoM9pqQFSUhS1aFxJeEpquWsQ5VrH+Jd/CGTGNpG5pvJifrteMt5Ijk4CvZ4i1JK0XRFRuyul+AEYMC2DqsIsom10/C/SPwngvlrVRikTw0dXlEampYWqZ/RkUMvD1n87mK4xf5lEFA2fiYRYiYYMQo0hrZqKUKc/BRi0xrlGqtEsQqP36xqKU/IkceFFselqJYISfLD1xZjU9Xn/hEMDQrGDDX948rNp4trlLFJmcEx6WGpeSELFnln1getbqruPUcb/cVtnaqdOhe9fCMQGcQkbeFmg+5u85lCrtCEvMj4jOjE/OjEotiEwsjEwtDlgqX8A4XrHuee+i6ArfUn3CoSIPw6IeKo2/xN57KZa9JSC+MSM4MXZIZHp8WGZMWEb8qOqc2lXcov/3ngqO31PopGDXDYKxghk0scMi7fGJBgM8K8Vm6mnhOjhkaBt+vXoslrm6KLeoo63hMrjGJ9Z/V6az1h15bKd4cuqQwJDErODE7KDEvMGlVQFJhQNLqgKSSgOTSgISSwMTy4ITSwNjVYXlt3N7Xa/FxOTohBrVhhnrtaOeRS3tpU2v77rf4+kWMVGEmJXpHjt2RYAbg9sKdMA4uP+pxeytyR7H/tfK12mxuW2x6UVhsakR8WmjcssClq6NKW1c04qt73uQNWMXUpxLybiMx0XDgxcq6zbHZ+YExaaHpwmzJAGfHOyrCBpNWAWGU6QyN5Ihi76u5ou0hS4rD4jOi49PD4paHJq1OqFq/vEVfuv8dNjohxJ1KckGpX5DhFtWRd0Rd1PLqtqD00sCk7KC0vLCUnNAl2QEp5cFFLWlqrGTbO6VHDZW6T1nUlzzkcyl6V62x1B99V73rdFXDIwl5pcGJmQGJOX6JKQGpyb4pq6JLunKaz3IO3qodvqcY+oytsfMpJ4cycMirUs0FdrduabkqPCUjMSFtefzymPj80Axlbv0J1u7L0gG7ApkUoRYuNgGTdhExzaJmS/QzZcNTVUNWjn5MQF6q2fdkftMe/wyOZ8wq34ymxMbH2YMGkW6Oi0/xUKcQ+MvM0kNvVrT15XAaErKLgxIy/GOzA5PZcZzduR1Psw9eUxGWRspSR5jUuFGFGNTaiVZsRLzzhXTOurDlhZGxS5fGLV2SnB4WlxqQWBFd05vb9Tzr2Cgfc4pIujMcnxSTThgztWnu7Bm41bv1ze+bWh+okXToIIw6OOgcG/9MRMxKkduig7+s6BpIZTWGpBZFxC+LjEuLik+NTM2OKWrNa31GqrEIEVu1ZoyN3lBiHzcce6W07kBMltg/dnVobm2qEinafkE5ZFcOW2TkuHTwivTAq9wuMr2qLWTp6rCkvIikvJCYzJC41cEFnfGNp8r2XxT231aSZjlp4mLjbL29WrdQrfsNl/w3Ef4vSuJuLWFSkUY5Nc7qfTJF1OWXWRvMPla+77KYmhVQszzcKaMc0oFb4u0vlcsOxqXXRMQtj4xPjVyaHpRSFLKyPrNFX7r3ba5mVERYVKStATXXY+YG0lzXf6358AX+Gl1ytjokfmVo3LKQ+Oyw5IrQrLZkNlLcdUF4zAIjJiE2IkJHlZS1VmeXD96R7D7PaqGS89WRS1eHLMkLSlkVnFAcnsRZyt2b1/V08YH3qwiD8MQMTM3D2LwYmxdis3Ra1XQNNV1JzlSCojub4NjFsnVExErYIybbN0UWBusL95ukp/69+bFfl3fiYSkrQpKXBydlhSTlhyYWBicVBievTIhPqYqN2RYR9EG4x9dxNEP+1DHyd99888f7GPmLTc1ntx/6+LsYafhLNfIhjHS4MLKbupxU2gRBYGgpmL5DPsnVvc9J8VExZgQ9H4QRxkZbhkfle19Kq1jnG5ri7xcS4Bfi6x/m6xfmFxAe5B8a4BfC9I9ixBSltpJs7W0x7lSiUwqtTY4Y5MiEHDHIAEZOqLCr3Sffk205Cnn5uN3HSHqOIgIKKOXsfrX1rFOOmhSLGGkR4SDuVYoZAEAuNnxYpJhVglmlqBXAMAjXARipBC4RWoSkk37kmEWCmfjIOJew8wlrs/ZduBlE7PjS1EFPZUPAIhLLZQ+MiYEa6cJIuwKkvxq/i5HvNW8dYN43tdLP1u++GvktRir+WoUfLox0qZFdA28KG3pA7hx9oxfNPEApdIxAfPyqdGiuhlqopObZQwtV+CwLm1ZhZv7mZ1dxWmn/q+tnIjLrBwT9VwXUjFj/KdCRBsYke3+VVlDrBZa+wSsGbu7+wcXq1VufUegdAuIuH58HkhcGgsgE+AwfnxVg0zAgycmHAdI1HilDHRLMLsZAn6Rca5MS8xxkVqS1dZww1e15Egp6qB8W8g7Ia5OjNphuUgFpMd/ORtI9kOARYGpVDt1sP/xkVGQy6CkCa2IMyCvKPa+W3/eBWGcVUJMCsEZoAcrY39rUKsQcfGKST1rExM31Jy8WSrs8PbyDGOCz5gFwMiGLxkiJ1rioRgKSNNGquEWGmSWoUYSZhIAk7ULErMavd594Z6Vs7QM1kl6IXlQj6/AREHxFTNG1rosYCa4gF+92UKID1kcm6S5jMA9MMyRo+5TTiceLaqQWqJFKrVV83CjG5/nYVEP/+YfVSHpPA1npYRU7WYNOdr9ZhY4psFEJPRsJMnVpU6sLI9dqnnVhpOsDCLabkZbZ/jMJaX9oNtL6Yy7W7z3+D1PrTx3Bfgrb9z/DyFoaI+WISYYYQIkU4pDTpzYVapD1f8je9URJ92B5p7am83R114ucnivSPrsSm21Ap9q19g6NaY1mTK29JdRe4hx6vXTLE8U7Xqw6dkUGckEdUsSs0NvkukkFMVOHTgl7P2ZtOsfdNMjtPsLZpFm17bGVxz8op0bY+nEOaWJrTXytRYRYRJhBiI1xCAMLdN8ZVMg48BaRDilh4Pd9XL75paLmJzgb31AcHuVpHEXYXOnQF5W6f+Jqv2jT/7ap77Z0+xPsbqxs7UD15qGyzY+t7H66vPciv88pQL/k6H5TPnSvGtT8mliUgaUbF2JX4cOvszY9Wt2B8taRgu4TgvUneOvPlG56tXT/GGfADmN2BWGv109KSEcNYoH1Dt7gteqe51jr9ZXdurKNQ5yOY7K2faJOnLvtRd7BK0KNDRREoRax5o4CH5OQNh4xywelx5N0qKlFvjgdM6rCriuRj1l7Xyvf/qro0BWZxixB7HJgDLnB3f1i1YaTFV3D5etPFnc/WrDx7KqNZ/M3nMnvPrWq+9SqrhPF60+VrTtZsmZo9cZnhJqbEr2Dhzs4xCQfBxE76w5/vG/7q0e6ngIYCdRIh0RrUeETKuymHB8R4xPgyAyOlk5g1cHsCtQqww0i7VX2rud4G3S89j5OyxHWWqSk68Tqnher+65zUKsAn5VRn0iRSTViasVuKfc/z+oarFiDVHed4+58S6oxwKSdR4FICzE20ayzrSGMwt3nyzY8UdOl463VcDuJ6q4zZdteYw2OSx67xzoxVak1iEmb+MQ8m5ypOToiP3aNt+u11RtOl27QFXVqWduGWD2nCh45XbTr5erjoxztAhf7goN/zkY+EeCfCfDP+OicmrLXIpdUh5/nP4JXbdAVdZ/I6ti/6pHe/E1E0bY32AdHFOhM0/BnCnyWPWBmEY5SwlaudypOzak14/wdz7M3YNK1g3XtuLDjbOXG17j7bkgGHWp8sp6wygmDkBiHCYsYn2RTzjK9rXzIVKWfqB4ar9aN1mAfs/rPF/X8bEW7PrP7+ZLDIwJyjofP8/AFDjpbPjjFIe9KKIfw2EV4/4u8badK2pHiDl3JI89W7flQop2tG/53ObEgRcYV6KgCGVUg43LEWEfaVMioaN8bVV1DlfUHRE17pR0HWe1HSjY8Vrb3Y+6gVUotKKg5Ge4EddCYXUgCwWONdnzPwMiurW9t73x5/cOzkYTTNRtJZ9c7YNQhRCZhdFZMr9eriNtq5F3WtserOglBJyps6xO0HeavH2Bte5Z77I6EmIQxK2dwhK+9Lseu1Q5+JD/wGnfTubLO4eotT7L3vs3vGxcTjpqBcQHlFA1NixCTevCOsPfNis4zNZ1D3HW6qhaics2Zws1v5B++zSWnJYRTSdjUoFfWwNLbaF33Swn2rw3Ib9rQhVbUXEeYpaSJd+wD9p6X87qeLtp+QawxwlqrEHXy8VnxqS9Fw1+INVbVoUuSzc8K1hD8juPc7r7iDfqCna9VaMaqiCm2bo5HTfNRkP0uJZww4RDjNiVlF/fdqnjk5fKOE+y1mpp2hNV5tnLjm5U7jbz+z0XkP4uoGRExIiHHgHCln+bq5wWIU3hotHrTazUbninbcKZo43DZumH2uicE+z6q7jeVofYynaOamuQRk0JsBsbmRNgMH3dyCQuHNPCJCRFhEFFGATHG07xfuOPx9DVDueufr9xzQ4p+oqDuKXVOSd/blZvJ8k1Y+SZ91caTNRvOlG18rHTjScnaw9uaOp+Rcm9kRf0+nvlTVSNBWuuf/vwnOqn1v4KRLgvrt2qkFExLArVNDCbZrGrkThd1Obm00dXSuqi2+SRXbnq8DhtRoEYJZgEziuh4w7C5VnO1qvuJHMmebF5nNm9dJn9DFm9DrnBjHr8rl7sujb81RdnPPvQBKE8H5y0n6FEEZ0STFDFLcScMrk2vbzzxjnzzAcjTjckAMmYAcGQyIUYMFFDG3v1Gy5lZgIgaqwp3SFFgauUTE3zCICBNIswkxS2wzsGm7GzSIaBmhOAk4ZAhTpnWNWzgcM0b0IqiVYqZhdpxEW6VgLWid1wY6U0LQSDWHESBBUGx/OrBCeHwXSFdtafArUoUzEbCuEWAO/lgasvYjrxTv+kok1bGXXlxYBzju7ORUro38nvXuw/++L+tRoJGRCnQe8ebkY+EG6mghDw3T2A+pU2STKBGxnLFxy5Jh2ZrqLtV5AJXN8/GpoX4dL1+Bt7/bolyG53sTr8IUGiicG/lvg9F1Ccw9bmamm9GR0UbTiavKHPFwNAY6QZ5JcTxenhHPpDqpgSg8GNejM/A2KyYXBCA7tBJLj7LxxZE6JwUm6YTroEgKUOdEldkKK19gexWxCEmF1jojAA1t5+cqNtzjhEIEu0XTdHfYuQnAnxOgE+JcCsMBiMBEAKFjXTwSDOPHJdSV5sOngmKuB/Pw/CAYlZGivZJyXEhZecRdiGgx/9fYCQMTjZOHmbi47eahj4qXXMwNHGZvxuQ4mkvT1RGK1WrM8Hgus0qI+xS3ApCsFCTFAVfxagRRk0i1CzEHALEqsZvdA+/+wAjFxPVgMQe5bdyjYoY4RJ2HjkpoKVIEfCXmiWYSYwYJKhFDCB8hkfOsYhZLj4LYzNS0PNpVmCu4hwrre1blahVoTWrMJtCaxEBNXKOh0019b9VWA3Kqe5Lka5vg8LLd7AHbdUDFhFuEOMGCf0hpSVfEHGuRIyN2kudmueKYBAlR7dX0e82c3lG+7Nichom50QghMDVbfvDYv6Dz5Hrm39g5E8Bs37q2/A/xEgQcm5VIGY5YpIjFhlikyBOGHWKcLsAmxAiV2DN+2rkcitpaMAm5chdCTIvRabrEGfzgKm1f6INMQqP3uChY2K9WYCNwZSRo7kjxaxKxCnXmtWkVYY5FPh8PfmZ+Ji9Dhlfe/J2E/ZhC3lNccrKfexuzclJFmniERYhZhOhNhi1ijCDAL8DTsG4UYwZFKAR2iAnHSLCBuumFNSMrN/aSt1t1d/jaydZ1ALv1K9ryM+F+K+V6JcqZLIev1NP3laTN9W6MYXOLKWmpPpPhcSXHPQ3bOLzGnKaDdDOxCJMLJ1VoDfXnrK1PWqrRa7XIzdaqLEm/E4TaZaR81zqSz75qRBzSjC7kpiEyRkWNVdNzVTjNj46JkVuSkEx0ngj9vEG/L0O4poCnZBRM2LdXT7i5A9MSDV3VOiYDITMO0XgfAScSjLMoELHa5FRJXpHio/JdGbZsB20DWutYo1JojXAmAkIeqShlhxXE+Mq0igDRVNmkc4k1BlF1ISYGheTYzLqjpK4oyLGZMQETFn5pJNNTLKIKS7mqNWOd30fI2lTK25QYrfl2B0xBhasYbBdDlDhgDtgxMbWmvl6J4yPtQ2PrSGv1/a910TeUukmwPKofoqDOXmIU4pPyRGbArE0UPYGfLRee3kNNdaATcg0BjkoerHzSKsA9Pea63VTdbhTiTuUOkejzthK3mqjxhtJswS1SU9+Jnv8S/bQFAszwqRZcmqOP/wJS+OQ4TOgQ5g01g8ZJMiVhpNjTWdMYv2YAHQyz3KwT/noPQG6IEBmRPgcH19go/MgRYIwqYnbtejl5mGDUm/iDL4tHbqgPD0u1s2KkGkZMqNAp+QgO8rGwR1s/XyVboFL3FWS92oJWwM50o6PrEPG23CHEpsRDTrFyJQCs9fiJiVhEBMGCXDl2PmErYYysygDh5pgU0aWzszVm0XD5vrHJxVDRj5qFJKzQnIOJu+KiAUeOsNC5tjUPYFuHqacSp1ZRYyq8ZEGval2aFKhX1AO/Ytq6D+k2IIENcrRcTlyR4YapKhFgtnk5GQd5ahFRuv6P27tf79F814T9mHDCavsxD0+NidEZ2XEtJIOZRTQGCnEzG3aid0Dozu3XtjW+cr6XR/SETs2Num6hgRl2nLULgWL6XYxyGEGQRL8AaOUtNSesMix23XY7TXkaKv2amPfB03aD9XkuFQ/I9PPyEm7SDsm0t6WIqNyZFSN3WnRGdcMmxrIMSkyIcWcQsRedXyMjTl5ugUOMq0g7zYOLdSipgZ0rAkdaULuNCBmMT7J0t3lkfMSYlpNTtaCni0TX2fnUdMC8q4C+6xJ+2krMtOstdTiVilp4w/ckaETEsQg1pqUhF0yaJKgDjE1x6U+rSI+ZWunVcRUh36qHR3/f9h7Dyg5qjPvu2c0oyyChAQiiBxEEshGCFCcmQ6Vq7tnRhERFLBlg0gCjEAoTOiqe2/1SOC83l1nbGPAYGyCMRmUJnaq6jijAF773X3Pvud86zUI+M5zb3VNT0/3KGEso+HUaWpa3V1Vt8K9v/t/nv+zQn9nmfG2Yuzxbc/UPb5/fnhfbXgv19bn1kyvnhCMDEcrmnqMLB/OSTjdgLtvNnYuRzuXoUg96lWM/yuE/9tD/swZaQG3i7hDQJEabM4zsgtRzhfq9ePeJdtz/nBUMtrrcftirUvF6Vqyb3547/y2TE045SFJDmcEqmFA1BWJcqRTInTaiESEbZbwRNy3vYMP91Drk94g3iuBkhENbo/42/YEw7sXtXUsbute3BZVtqWktuTt6K3Qlh++/dAjnddf+rdpVV88jPyYFvwowkgnqLWcGlkaI3kMTtM+bMmoc2XbW+cCRoKd0SiaKOEac8HMRmNZqL0hFAmC7hcXdfidoBFrIJGgvjugvatq7yr6DlXbEdR21ofeqw/t8Id2q3p3IJyUoXJAEsrQwZxEHMavuinjXiGUadR2r932UmDtBlcVxFRDkRmAnxGuEWe6xt9Q+8Dzy767X0ApLmQFcFqFGyDiMboXhnvmhnvqtI6AEfF/J7ng8eiCbQn+iZy4LSsScIKVWpMqVSOpcWtcBWEwqaC40Nolo1hA77mt9UVu2b3U9dg1qiLPUJUnu870zWuJ+B5/32tkRGQGcCygdyuoG4oTGikvsRTSs4q8LN/2wIixU1w0UYAOhsdMBKfWnJfs48A5BrJZZOpcUjTkZX9+thjJNgSDaTBP2sM/+pvLaleOHjelgsW2AiGPc02dJ256RX08U2f01ZI+3sj5Wk2pJd7Qlgnq7bUNFF4IAAAgAElEQVSrmivHMgM1l8t16tirl81Y/ZSy7c88/mDp9r1fRW/NWrD0tKlTWIAsFbtGu8bPPD9oiCgKShfU281JelrBff62D8S2tLAt4QtnPfoBn75fgKS4DGNIWU8LKEVz0O3KH7KWEQAjs5weuf2J9iUPfHfE+DPhvDDIcI0af80KRU8K5AMf2u/DOZ7SINTCghyShHdbsqYtWkM6OP115X48+jRqUQuHPMZ1deDy1f+uPN7LtWU92OTJUD6ln2fdSOiwkeWBuh2dwW/urn3g+xfOkSqrKpmxrst16vmB5gCOcFrKG0qLJCOAjhoT9IgE9Usjoh6DCXU9ASyqm0G86yvbX5kpr2RqJPN+oBg+eczMm9XwroVGrC5st7mE4gqKqHqP3NIJZIgzKunljZynLcuT3gDqC8IIA8JoFVrHLACCZMKvx1UtGkAJVYv6tnZyNDdyedPvbpinMLvC/J5XuFzjT59zl6c5OrclXgthVKakQ9Uc6uxliaGk2hpd3PLu6pYnZ9b42Bmml1OFq2L6pbf8SiT7BWO/AFWzmYn0MEZ+0enqhDm+o8PIRoqRqpZQtLisQfioqFu8nvQhy4sSPhTl9G4Jgt5NFXLRcxLcO8kAMuu1eEMo2qDH5FAU8p8N8HYWiCXABA3NMtAg7Rkid1A2gPqUUC6AMg2GBWE+KC6H0762nNdI0ekn8PSicRxxHsKReiCzAGajmFcfDOgFnOKNnIDBjdmPe/00JpPDaY5kfXR6UdZzMuQgJGQSl3BCgmdaWsA5Ae/l0T4Onu1ZjiQ4HOVw1ItjXpLwkYQQTqjbLJnm4CjElLEp4zRP+jxkP4f7RBrtIqIMh7MeI1dnQKkMDzG9OO4xTI9hiqQ7SNpV3E3LkqVAdcQpEeIsYgF4vgEhiHY3HackSZ+NKCLguEBMDkJ/QRiUkAnzd2AUbwkkKYBXGeT2cxj8VLzY8kIBbZip5CAkNQ7FpeA1wWHTi0wPstxQBS3RGOosiZF+HFcRlDFT9Jism3SkBN68IqC76dVNmArEcaktoRhRUeuUcJQnCY7A1jlkwWgKQrFishaDEmU4HkDRAKxAQIcER2H6UIKHg7VkmKRLiygjkoxCkn5s+rHlxykJpSUjJ4az9KgTIBWAo3iaQxk6QZwRcVo2UgKOS2FLaktyhkmPOs3BScwKCLQ4sHODwJYsjzNg7A9T9jHFSEskw6Fu0eiU2iwI/kRZGbKNLEWDPYR5VZL1gsPCXhHvFVFWwikFp/0oq+CciLO8nhZRWqFGFQqKyZgVP4dC0D5Is4rSZKs4FIEkSY4klcczUjgJx0tgt2FBKR6CWtMc6eVIliNpsOLHME0gGynJyAgkJ+J9Ej4goawM1a3jKlzecIVIKCnjtILTtOQ1SNaAlzgih9OC0edDWR5nRQxOEDw4qCd9RpJDsZtD3eub2++96/d3AUa+Xt/UKWCzDiAHfPLouBSGQDDBqkEJNAnBjAaUKw9nOLjGkjJJKchU9Khf75FJQjCSIk7K2JT0GCx09xRsBg2r3kj6ianipArGkHB9cjjFkxyPe0XSqxp9CsmocK4T9rkmWd7oE0hWIRk/hvdlDAbyVCpMqyhbr2fr9VS9bgawpRCo+K3glIyhSpyfJFVkKjgJ59To9YKEkJNxJkiyQZQM4oSfxCRCXW2MnM/I8SQLzYuTIrZEkgJPRCPLGxnByIokKxMrQOIBHAf7QJKRyF7R2Eu/AiNtBXdLuIcnUS+MJZICTsskrYbTkmGJRlwmCQWCy9I+I+eFJe01kj6Idk4KIHum4HFHEiKJq5AEHlVwXDKSQjjpCyd4IymSjEwyKs5Ak8I/JUTDVIgVgGZMikZqftuf57X992JkNW357Xsb9MgNl380rfpEwMjC3Mgjw0gOm26S8hBTwF23bXt7GsVIZpYDGchjLrrabyzauqexNdKATcVGwbgM1zpcEN62nLstV7st527r9dLIaS7cJxh9ElTayCk4DbMXOjzv8ktSxnvFUG6xtueutpcav/KwqxLqG9oRiWD1Ntk1bqZ7/bMrvrufxxm3llKMjF+PySjiIz11bbE5qNPX/M6iptf4zb+7adOzCzc/L259JYj3BNpMCa74nAIGrUnaU8Zh4geeRKYv1C2C0tJ9a+hFL8NIutGRbAxeMdY11Q0Y+cQBrwFJd0EMRSMVFOVx0mtkvSTpD0e+0vYHYcU91ROmuqCyKXXocVVPmv/Aosd7feQAh3tpB8AeQKXHwZ85RkKqITyhErwREUJvzpDvHz9hWoFMNMI15Tr+kefVNqsWZ90kJ5GMopmBUNSPrWA4Kt37rUnnOBmJo1ynzpxUs7F2S4+87cDt33//9g1PnjXlvGo63qceaC4oUHu2dOGtP/OF+7xGH0+yCrYCKBZEVhAlA7idb/5DzaN/XPDoHvfWhKDlZJSTYZQDPQ1PQyihmAqk46blUE4wDtSgLK91r35i1/L13xo5Dozj82RSPfaa5YqeFMn7gr6PR1kBmxIwBtT88JFEbZs5NxxZaHRw6DXh3q2jTqsGdQyW8ZWzVl1z9+/ceK8b9/noc6Hfm7QgrvXzz42UtYQf7PjMhUbC19ZR8+ivruBurawCj0H636RzlVC9keK0Xk+ol7rgpniUEFBE0rtliG2LKlpM1uM+ZNXp8SDevXbbqzOl1Y6Cy5R1mA6YucQffqcm3OUOWzxU74Dqc3494tej/lA80JJYErLUR3a6739B3PiS/Mgb/kf3LNITfsPkUUyAPFIL0iO1+ACMbOrwUYxc1vTCLFr/ekT/yQL8n3rTHd6mzrktiRqQQMHgKgBdche9+zJSS3JRc/sdW385e6Gb5rLnZ3AqLrv0lqdEcoAnB/hhjDxh4OrEOdBjxEgZADIBeiBIgma+RHOS05O8blF7MxqTAhPBCRnH2SiTqvpADpTZ0iKU0kmyhVoGJKmHedqvw5Bd1XMAe/aSkVEawA8e2pYAkQuwULN0YCSYyIM88wR9floSSlPYyAkoA2IajDgtmC/WoMCYBEtCgoFgiocU+jT9WEYAA+csIA2mhAkW3BGBZb+DnV4CYAnYDMpgcDjFYSBGSik0YwLDd3nAyDRHqAO5YXlIss5gi+UmpgechCCYn07GmRKGHpnyAAziafuwPjrBUmMkasMmIAuESligphRAL0xcmgLsRtqH0j6Ushc95dNTXvrqg9ekT7d8AI2w8Mjk9ATUSAOKiy1q7SjCSC+12FHhrJkqTNhBKoECDZ7gEJxumC7UEx6ccGOzDptuWCwPMr2US2FSQI8rWoz2CFEZBkgwTSAjmLWnmSOU/xHgKE1+AZriQa7JOGeB0biEUgoCwlF0SBGiM5UwWQnfgnQVZ0kDjAErsvax4BogCWgf28HOEnFSBF/9NA88meNRDjpuOOl0wRkJUBa2BbPqOuywCKWk0yLgaJZHvRwCVdODWc5qGq4ZsCU34SqCA3TyHeDwoQX0hEzrhNPLFa5zZvgHA1RkQa1mOChTAmyzRPBTSAsYjADpFZXhIMopLeIMbQp2j9gjN4qRlkwxWwD7QJgWgSkP+Ap8iy4puLB1iyvESK37vpb2e+/63V0rf83USAHG2AMwknln0GllIHCIdyNZD+n1kF436a2DECHYFpTLYhgG+gQ7dji5EtxoaQnunTSALrBiSsFJBdwTkwqFLolkRALABkRNKFHT9ldwWgVWZyc9oWJLxZaCTQUDm9H5GotxowJYlVFIVsZplaRUkqSfBClVJim20N1ISzgrAVFnJZyRCCAfkDBsJSkDjloyht+USUoiKQkmF8Bpn7JlCu4yYknElA0T+JDEIYacRBTSrZAu2eiWjIgMgBoXiUkXgF5GjKIBPwJ/UrWAB3qERYQfhBppMAGBTbjLgH6ZvT+8wm6QJN2uRWc9MgrKBfReGWe8RmZ2+P/Navs4oL+/ZfOrOzaEYzdcefAEwMiDBz/9a4HFzpFiZMIDM3kJAXdSjFwKpXWoKAT/G33BdNVQNu1SoCR6kkbAmpKelPSUqGe8KFtLehcYvfMNeK0lvbVQgXevF/UJdH6UftKiGNn/KoEamV6i7by37aWld2yorAALMDtGFDSOk10TrvTd/4vbv9vH41QNSgrhtERnQKmlismT7qUtb3hvJefNXnrWjcHz5zZeza2Zv3q7b+OrMG0Z3iuhLMXIhB/mHQEjfThZo/d4SBwyBEIvepbfzyq0skLDQEkVI11TaxY2dwuP7xMMS4IpPfC5VXQLIq3JPi/OBIzIHeTF2vo1VeNPd7mqx9B9drkqJs+7f/H2HIff9+G9PA0EZ3zy+aiRFCMtmAclXZL2xg2LHpk06RKGJTacnHYl9+CvFBJZqCXdMNuXCeJUI/SpcYX0NGz46Vxf47jxtLIWMNyprvM85zRuW7Dxra/8W3bZneGJlTTsNw8orjOumMRtvOb+12rJPo8BxVH8RqQB727Ud9VvfdN374/On7/yrNm3nCtunbn6597NHYG2Pjncy0PlT4uHvqRX0dNBzQxqaSWUE433a/SsoHV95fEdt9z/xBhoWOe/qrHXLKN+PHslPSvCmKYQI82acGJOOLIw3MGjP3J3PjoGnMnZf+PHzFs366G35rb2QYyN/SA2ixIjReiZ2MDCVKEjp6+of50z0nU41ajF1zV3rX/ojXu//tu1d72w8uE3G1q63DjhoTg6xIkuefZVBGY5XpJcQFILtPbaR5+7IXDnmKpRoPzDvk89m9P9eoYL7fNo+zmy34czMKRAEVnv8oe6g6GeQKhH0SFLuQ711ONdX297/cviV5i1MgstpU1w0rhrG+rDr7uN3T4jIYF3sdkAtVVj4GyE0+rWqLr+1Rmex867dtFVc5ZMv3HlZQseu2nN0+6mLje2uG1ZMZwWQjBAoToke436mmw1cknT819a4GXhx7bdMWy14sw5K73Nuxe0JDy4V9RzAS0VRFFF7/DpZm1rL9eSa9za89WNv7jxxnnMDYiWunO5Ki6efsuTEunjyV6KkYUjPLtHL9mYTIoXscmRuC8MBox8a+qrW97++qrwz77/O0Ypn3z66ccnDq8MH+lx2QKfGUYiSpI6aDgCaCwMI4EWZIj0g0WCSq2AYaAiUnVLBrUkJcNiYySVg9IsZiegA0+qekbWcrLeK+u9qpaG2ss6fJ4GjcdFWq0X0M7xdraffgAtAJx6RgI4oSoQpVkVgXRDq1VHRD0iwedT9PmfohIfMCpIPbAJSDmRUUQCJ/aoROVHOAoc51GcSnwWhwDh8iN+UM9EiqN0HA8KDGQVgoYJ2p0bXhOwQkvs0sYByYUGQyXYRiluDXi2UO4Cv3GAEOoYx4bvgHP0YKmvdRKyCYAVGcMneb1/ha5bjCR5WpkJsJ8x4VAYCe2sgK0D6FQKjR92MJLXYhyOe3GiDiXqEISAepDpg5+NiXoMZhVDUZjpg7jcOCzQ+BZFJqbf2pIaiJwwjQuqLBPoRD0FPKnDtQFojeLUCSJO/cBNFqHTz13wScqf8C249iiPmSLAPy3BVeg7AMeeFAAjwWxP0FNAaHqvBNViUqzl80TETgFcBjBEBGLMcWivh87/egHYQMgCO3H7eus/ZbCH1MiQvoLGrkClBzgcCQxsgCELew0KySYAJ3wG5jKAJAEOKXbCyBbwu+iLIPYCs8EhczjrBSumXg7YOE2PEZx7qBF6sgRGrvvdupW/XrMeglrzGAnVQdmJZhgJygpVMr0o6cUZL8XIOpKrxblakvNABFaGSiPOsbA7ju4qkCGcCMA2Cmz07NNzR/FJIUmwIbSBjWFbWgYF0qZBCpzAkFCVgGIkxAuQhERMkGrZj1BxmAGh/fvwfhI+D9ebSbeSpFvJQmAaiLdUt6Q/S38ZWI4tFCZB5By4b0kJ6DGmkphMYoq9UIzEHQruUEinTLolEoEHEWiMpgC+/UkRONBBQRsg+xmSHj5tGQrYVLAFWQtaDL4LP4IT9PNw5fj1XFDvk3Haa6SvD//3dW2f+vUPtmz+444N26Kzrzw4beQXW408+PGnHx0LRvIQImj5wNC187Zt70yDupEVVTRvEMyzR087X2zxbnyvdmu3R7M4kvFpSaHVkkMpuTXJa2kvytbhbC3O1OGMF8OfoPXrWVHPSHpa0qFCTtEi4IxPSzRqO+5ue3npmo3VFaOY3SuMpIFfx7pOvoxf/7NV307zOLEQW75tGR+KQxoDTvKt0XrcvRa9dkPNygrXhBGu6hEVo8ZNmHz6NdJVtz7Bhdq9dJozAGpkwq9HVZjCSXqJNR9HF5C4B3cvDr3khoIfI0bRbMzxNJi2gmKkp7lT3tarEFPRI34UgbgLLcfr73vRBzzK1ZPulS3PXFcbqABTaaiYMx5Gz5VT592/ZFuWwwcoRkL4rlzGpvUzd2qlz0qYdxFwRIaQ8ddqb2maeuYMl6uyglIuyJKnXsDd/W9KqH1Bi+XWcxJKK5BKEeNC3SLuXNz0wi33GudedKXNiSMqXSed7bqo7vS6dQvWPlEr3XJaBU2zBHm60jV+4vg5S2fd93RtKOrGe72kVzKSitFRj99eqv0h8MCPr5fWAoi6xrimXDNp9srr7viZqPXwRtoLASemiHKKtt+vZYOaWa+l/KGsSPbV6WlZ61z7+I7b7v/muHGAkfncyFFjr1kuw0xwhk6/WRQjYT4S1C2SrG2z5rZFa4x2ruXF2tvWjT8p/8WKUyd5Nszb1D5P21uH9gqQhFCCIf9RGKmiuBenFpJMrd4tbHnRvXT9aaPHnmzblk6dPGej99FuT/M+t/aBDyYmchxMD/eoWmdDa+filq76UKesd3Kky4PbG/COu9reul5cyzCSVTNzMLIh/Eef8R5PEoqWqw9ZS6AuTkRG8XojKTz69oJl4VMnf6nKNfaUytHVrnEjRl07eda9X7775YWtUQ9JKtuyQmuPEooGwQkpWk9MVYtyTZ0QVIayi5p/c21NHZuIGW1PpsBfp89bVdeys6Y5Iel7A6FcY8hsQFFZ73Rryfmt+z3Nexu2RNc8+ONrL796NL3pbJG76qLpt/y7bLBQnHRh33/I9eHcyOOSm4Z3akALHCNGKo4aSUUqAZRJU9AtuoBsxWI0KIyB+gdhmQCTCQlG0s7ChsjsNaVQJ3OIa2W+dHpK0TIKJCBk1FAS/PBo+hZoUyBFQgAIi9V0xvT0+WljpEzz3mlqH+yPDA5qcYAcMF/oAUSEh7ZFNTHL2SsW4U+VQJqzTTESSBKKi0QFBA4IPNSLTtDBOhMzk/R3UgMx0mSHDMRFEl4S95G4l5geGmsq0gAWytg0zhOowBmU92OJg5H096FtB/caAjY53fTp8ErzRUHoK1p4+1+hHdhCY0pji0Ll1Eg4I7Q4ls1FNGeBnlb4hTiHYl4cc6O4G8U9KOHR4z49xmtRUYsoWpRaP8QB2lFc1gEmoT0hrYYJd5Bfw64BSshgqC5SxAJsQykBzjJMKMs6+Faouo2RzLOQxv2ys5YSQDNMsquONRENdY6xa2OAfR0NoIVpDpzm9aQAcxlpWc9Kms2QRU912rmz05qkol+OA4sUcD/imW5Bw4/zEcj9p0yh1J1/tQARAaFhKdoE+5N+Eq5YqluCMA7yLOwhZGnS/WQ3S/8m2BdZO/BAkiCJQ1UzHZpOAH8BeymBkXcBRq4GjOwQMMxrcNhi3nWOBSOVfJ0Y6ZQXpT044yaZOpx2E3C/o7myRYeTv6Mp+gL9MsUvj2pUf2MCI1zqEoYPOAv7V4fr2IqjRtIAV4qRIN8x9mPyJoQYFC5U4otD0gp2tpKm0mjK2YG8zjngi86PyCAyU82QmDKJKySqQPRpDBYgSaZGdqqkQ4Vk4y6Z9Ig4ItmyZAJipvKqo0y1R/an8yYQJrSMLYrSvUqq8A6Qp5jXLQUQLVMqSgf1TL2eVWlk8g3h/0vVyP1bNr+y85ETBSM/PPjp/xyVGgl2O6x74ClGLsNvXOq5Y+ToCYyRoBzMqCmnfOn2L6/7TW1rzE16uW37PVpaCFlKi6U2JZSQJWgwIeeDaTkaPgFZHKasWZKWlGiV1QEMyequknQdmHnsWrv99YY7msaPO31s5YgxLEAOyhhPqJg2m3vw57duj4ooVoNML2S4Qcw3mK2F4otxz534tbnu26tcFRPo+BvqGZ160ak1d8564AUvTB2xoNa4n2YdyAg6lQUoNt9I1JGeeu0VfuXmylGnVlHrUVaqZMSI8aMuVms27ZJwyg+xIhEwxoRD6BP0P3H6f0iot17f0/jgv0y/bl4FBOGCsSY4tVadepG4uTGc4vA+H+rj9RQYu8HcWNHNbz+bPuugVuiE6Fxvjxres6Ttdenr28+7ZP7o0adW0pYBmWvMpJnBR2sf+qNH7+PIfpgdDEE2hU/r5HD7Iv3tWx97ZvrswIjRE1xQrtblqq52jT3NNfGicedce/rUaeMraJRp9WjXpLPGzeSuuL3Ns+VtGZIfshCNEI6LRrufvLO09fcLb9584VULaFypy1U9rnLS9Km199x4/3M+SHeB8CQZ9fq1A0EtRzHSCoRSCsn5IOO8c03bjtsf+sHEKRf3h+OOmnzSrFUKiUtGioXNUEs9E2YuwWI7UxNOzm+L+cLtvg1P3Sgvm1DNXIVcFRMuPkfW3a3RheDSlqGDkthgKfIfgpFsztiHkrXQSfQEWl9VVm+eNvmMyWCF5HK5Jo297NYvr37B07zPg/7swR94IcgnIendAa1jcWv7spaO+lC7hPZwpN2r72hA73zNeGOO/57KkSczU6UqqN1U5Rp11qSbVgfwaxzZIWJL1fbXt6aXaj1BvVtG3cG2npvW/fyCOcsnjJ80Fpx8XZNcrtGVp40823du8FtzNrwjh9PBthS3ZY8S6qknpjIAI3s9KNPY/NxMr1hRVTW6Am6BarhARruqpp5Wd/ecre/UNcfqQ32LW9OLQ/EG8AfqceOs2/izoB9YtKVr0eq2i6dOYzVOxlS6KkeMcp109ZWr/lXAUR/tkkuOAMq9OYyRA3hl+I/jsgWOESMLg1odOMmvADdSRmI5YyyI1Hl1IgAZS/STpAIAWbQwa7qUHx7Idu5WHiNZUCtL/Ov3u6Y85vymRYMA7RAPijGQgEArVEO85cB/Ldwfi6a7Q1BrXt1iGlckH+YaByWQalwUROH5X4iRtJoR7BuP4xxdnBUWgusw5BCPEfYksbsJxi15Eayw72ACI59HxPxZ6IdGFntc+L4PygXHB+dGFga1QrRtXlsTIXR5AEZCBwqaZNyHYj4EYAnpqRQaaSKfjZEqEyTzrwPbHCS1/GKPTOgZYX5mtpRd1FB2m+T5H7i6cIH2gdjmAQyZbzR6ypzsU5CsqdBXTGg0ooSRKmBq/syyIFgWntp/XR1p7E+p0223Q/5CYhu1W6ZIwCz8OiNJAaRLG8UBqvMMyUPAc39u5AqN5Ua+uG7l0xQj20Uc8xCIr/bTasyFGCnRAs60HJcdGeulKjpHC3GVnPJgOwbaYH5x2GzwivMZWwkcSIMDP28qkIFsHsYnGRma7Ov5TQChDfzB0gCZ/4wJDoJ0ofG0cQXnF8DIKGRIki66dNP1HplEZBJ1SJLJknb8KotiLXjNY3DxPgC+DsRIUGhRKqin6/W0ik3OsG5q+8/Z4Q+Deu+WLS/tfCR8gqiRx4SRIs0I98F0Y3e99vr827aeef6lpzpVHKtGu066cqrS7MUx3+P7fU984IZABagdX9+SoIWtWDq4Ba6+YCgXU8GdPKFoFsBkkRRJ3/GRTA2k5nfdHH43eN/3LrjGO+akKaPHjK8cM841YYJryoUn16wUHnt+EWqX9ShEcRgZLxQnyAg4q5D0kjbzK+GdN0r3V1WOOZkqikB1oya7Lvadc+t3xO1pTrNUzaIhfJ0q6pRxN4fjtchcaCRrSVQNvaau+9bJ53555LiJI6vHuCqqRo4af/LkS6fVrq9tioo4G4D9B/MAMZSS9T4JvS9oB2SUCobemXfzhjPOO7+qEgbOsNGqsaPOnXv9V34YMCwomajnRB1sfhSICPp8MBIm4SSUEHCEI7vV8BvLNj81a+HtZ55zBTQJ00srRo67WJm55tdi+D+ktv8AjIQMvYRAun1Gu4o6G7e+d+MSbeKl80ZMPMM1coxr5Gh4rZ7gqj7VVTXGNWrsiLETR0+5YtxVyvSbiXfTaxCtpFl+zVRIXDR6eAhe7whsfeVS990nTZ1ZOWI0wAxA0agxV4hX3vYt2YiIBCZHYapb6wto6aAWr9cSwRDk94sA7R1L0TvLH33y4uvUqrGnuqpGVY0/bdyF884VN6lGTG5jpT7AnRVmUiHTFVxhFhqZ+eG4THa51357+syb8sVIxp10hf+q237m01N1pNdHEjLukMA41IQ873wnx1Y+/6BWNrriIb/F5FFXUH9j0YPfnnH9wqmjRk+GK2q0a8KsM+paareYXvJnN/7AQzFSphi5qLV9SUtHQGsX0G6O7ObRe/Xo7Vv0V3yrWiedf93IMaeOGn1S9ZhTK0+eNurc2osDmtj8Fo86RZRTtT/Xh3oXhSDXV8IdgW3tV63+5ohzZ1eMGjeqCurDnFbhGuuqcI2/csyMr3157W9u+e6BxnCS27RbDUUKMZJv7hIwBALVN794Q+NXx5x+7tgJp1WPmuQaeabrpKtGXSCcf/P2+foeXjcXt2aXtVpLWqMNCCbO6/SU+Pif/CSzaNNb84W7J489aRydhRlb6Roz7sxTrg58ad3PakN7PCCklL5rCnv0wvVhjDwuuWl4pwa0wNFhZEMo4g8lFGquU4glhesi6E5DLKUxUkFgnc0wkga1Jmnwjv3q1+3UNSrHMTXSxkgq+pXFyMIbk64XIkrhnjCWyCuZNK6VAmQhRgJD5sESUhPzYuYA2KAZjDQtCgJuHXsbhpQxnoqoRWg0aCeBe206Gtg7FHUW7M/Cxj/MdYqRicZBTq3FGJlPrKB5HDaNU0/yOATt0wUqrtHDFI0R8lAAACAASURBVGkMM5uUZFJk4St7nyrA9qHlgb9QbXPOzoAJiILkQ9oyrE0gq7B0RE/Z92kqI41YLoGOhWehQAe2oY4xHsvw/CzQsX8HhthWuQGbs6uF36URrf1SZEmM7Hdq3douoZiXxAUMGbAButAoOduOUbSt1E0hX96ZRo+zXND+nXf2hK3kYawYk/553jfz3Ag5mf0LKJMMIxlJMoaMUH2yHyMhKZdGt5bGyH41tb99GO7m8yH7g2AliNFNBVGqXk+p2OQNa27b/7kx/NcGPbd184snDkZ+dHhqZA+dGiwu+AEFLWhSgZfEg+S9xRt/ckOtNLEKym/YnpmVJ427/pYbH3zJbVjct9+vw0lBjwe1RENLPBiKK1ocYvF1S9JMWt4q7gcMY4IkYKRYSJIafNKnZ+ughIPlxx2LQ3+oWY0uWbj8krnqRfPVsxcEpvrWXHvPv6rGe6rWIWtR6l0GcfwsO0IK5wLh9GK9e/7K759+yQ3VVa7RTC4bdapr0rUTGzXlWyl3S0wJmRQjO1TULuN2Acc8KFVLMrUkIYd2BDc8Pcv/0LW1K668Qb5oxsKrbhBvFL827+tPctv+JJADwZClhixI/gylFD3tN/rAJEbrFDb97ty5gaox1SB+0nBW12lXTJUertv8mmyYkESuZSB4A6JqwTWr6LZnf5ZTIyH9lxptwVXOEtAP45VF/IvI5Ix4Den0btt1s/GGf5Vx2bXuyhEQkgxwVTHKdcpNV9zycx9+X972Z4lkwa8PxQXS5THaBZIIaGnpkddn32Jc6Fk17Ubp3Jv4c2/gp10vnDtbOed64Zy56kULbr2G/8asW77j2/SmHIoG9HRASwa1uB9HJSPCGXHBMMXm3TMWf+uCOavPvuzGcaPHsbTMERfMvXyp3hDuDqJYvRbz01R4SM/Tow1arEGzAlrcDyW5uuXWd+ubXq77yuPTF9588Wx+uvvWa5c0L7jvGYXEJMOEIQJM5kEuvgx5kr0c6asxcguNuPDYy3P835g86XRa4MTlmjR9ejBU++geDvVRc9eojPdIuIv2dsV94eePkWwCGEJZwG+tS9XfWdT6HPfVzRefN32KneB4WuUli6679xUP6vXi9ylGmhIEtXYEQx31oS6IaMXtHNoj4V2y9sYi9ErjxidnBx+4av6Ka+Yuu3zurRfX3HlFkMy/50WxqZvOaLzv1//TH9pbryVU1CPidmXbnuvWPzm1Zs1Zs7hTzr/U5aqspiGmrupprqn+K2/+8ZLtmSBJic3dfj1WTyD+uR6mUeNQzZImY/hb3vas+96V3J1X1q65dO6ac25ce7b30Utu+/6cLW9I307Xt2WXtiaXtyYWt0bqUYLX4nVaQmpLSU3vivf85LwrvdWuSpZXXOWqOGXKzJmLmuc89vL8ULubYiSEHh3Glc/upmGMHMArw38cly1wpBg5l3zQGIo0hCIqZFWAtUY5YjkWjHRIcpAsCfZaDGao0GRb7DCjnULpKQ8njiBZlJDmgAqLsXQGxHZ+F8urZOmRZTAySmMmKbjamlghRqZoSKFF1UgbIxlM0lcHI53tll6xMfLwMKnciRji/c8QI30EkJKnjkdgbUCXQoBkgiRDwbxyCHOvg7P+8nLx4DmIfuBnT9eyoDhEi5V3qh88KCrEs0KRcAghbvCPHOY7x7Ktwu8W6pCDcyOZGnkfDWpdc/8fG7a2y1AwBu4jvx4P0gVC3hBULmA3Gr2GQa5kCwsdH3oc+M+Di/0gN3CfGUYWACSDSRsjWWgrI8kexpAKiVKvHTB2cnI4GRYWvg6tQ5bASPAlSgUKMHJO+C83hf/aqOWaNr+464RRIw8HI7sVyFKIMgftPE9C6Q4exz3EqjVStdiUye6V4VcavvrweedMHTcCIhyprFRRPe2GCxuNutZd8vf21UHeRTSoxxpaovXUh0MGFykwL1a0hKol/PRVhjpX/bY6eZcdyPvntByPPuD0XomYwbYuNfSatPl5edPT8tZnPJufWdj0e9+23dL2qKBD2eWgnla1FCsXweGUYIANtNBiBpv3SF9Hp513xkgILXW5Rox2Tb7mjOUk+N2stzWmtJoBcPHqUPAeGe/mccRLw83dhiXoXfUt7y1rfu3Wrb9f1fTsikd+svyhf7tt89NB1FPb9p9e/X1/KKmGoFqRrKVVzQwSsyEckZpfu/6OtlHnXuGigXxU/5xY+aVbr37weW84xoMrjwXlRnQwHAPh9EgxEpypwaLgSDESXLOx6TPM+UZ0QVtXY3jPzRuens2tOWnK2fniGdWuMV++fPmPOLzf//hflHAOfDtBwOzyGB08GGodAEOFlh3Clt/zm34tbv6luOkXwmO/EDf92rf5Kd/W38ibX1606d3bt2cWbctB5QbSR00a4jSKPc6TJDXy7pVbEuqjL4pfw5fMmDuiaozLNbr6ktoZNxtL2yJLUHxpayyox8AtBkUCeqReizXolr81Um/E/G1xb+seGbcH8c7A1hcaN/86uOW3/ta3gqRbhkKRMIygFoUW8LmeFfBeL+71bevjw9GFd/zLNbMaq6FCjcs1avyYaxvnrP99YPufBHRA1HPUH3yPhLuPG4yknopaXA2Bdbiktwfadjai3892Lz97zHgqqFa5Tv/yuY1k4eZdgrHXq+d8KMlD0UhaG0qLCHrEh3p41CXpu91b/qCS15e0vaVufH7xpleWPfZaw8Y3gpt3qFt7AqFMUN/vDx3wa39Wtb8o2n56B8U50u0h7bVoR13rq9zWZ65bev/oU6ZWjRgBE0aVZ7rOCU5f8VMulACrvVBc0c0GwwqiRBAlAhgCoWHawkgJrV1K665gyzvBLW8Etr7lfezNmqad7rYE/3hK3pZqJKmlreay1hjon5CVmpTClj/c6X7wF9cG11efDLbAVSwJevSk82Ysr7nrlzVaew0BQ0KBZo+owxh5XOLQ8E4dXQscK0bmcyMZq7CISvZ6jBip6iBLDlogqBVGt7D0q5GDs+AGYWRRKAHDSCZ29cMJHfE7JMmMfBIDw1lZUCtjyHy932KMTNGhPGNIEyx2qExX9Cr2G3uWZkjHpuswYWkIXCz3TwwjF7UW140sUiMdm7eSamSBIAlJqo4aWYohwRo3z5DMoxWyAYvMY/6OGEmvnKERqJD6CvHs74+RRbI2m5U4rIn7wv2k1U2K1MiUU/CjHyNX/eqO+19t3LpHhupo/RhZr8cDYIwETrPsRnMA8gTDSNsetl+KBJJkA0sHI20dkiZPQqmPPEPaVkCFAAnrpXRIhq8shdLBSCc9UrIxMu2okXMMGyO3bn5p5yNt0dlXnSAWO4fMjcxjJCpWI3mwnUzVkewCzRRQ14rt763Y/KM50rJTp0x1VYBSAcpS9ekTZt42/8Hfyo+bbhzhUcSvRRpae4IwYwoVCMB6i9KjSl/tUldgW1pEktR/WcvJ2vui1gveXCTOGT10ifjCEU844g5HPdsTXgNSyWXNDOrJgJaEwg/UaqwuZPI4p5DeJUbiDu3X19UsnHAKlb6qxlRc5rnyzh82fK9PREl/yKIY2aVgUCMBI0nSTZJew+L0mKLHFpH4Uhy9ra3nFrxzeejNm9G7aji9kPzFox1QQymFYiRYDmiJRiOyrG2ntOGnF3hvdY2D4oQjXa6RVaNcZ86adMsP5oQT3m/2cm1QU4T6oYGhnJdAdnjhs9JZL6dGylCsMsnrR4aR7GcFZHLErCGJhSQq465lrW/Ld357+pxA5cixVfTkuUZeceWy76hGtuFbf1KMjBiCIkIiivCkW0BJhez3taa8WkwIR324nQ938G2dXLiLa4t42iKebVHRsIJ6Zvnj7ze09YlaSiQ5DvLL4X5WIFI048N9nPEf8rY/Nxo9t2kveJc9MPrkC1zV006edfNNa390y+Op5dha3hqr12M86pJxj1+PBOBJaoIHEuqRjZhbiywM9XDhpNgWk3CHTLpFHAXf3f6kGuZFnhTAqrvPi3L+7el6/N716kPnnfMlOpFQXXXBTZfd/i1vqDvw+F8kHbx8AiBtdUkoUnKU8PmrkSw0Sw7Fg6GoGoqKetRnRAVjt3zn9lnXzIVUZCh7OaV6un/Wnb9UjZQPzJAztExcD4+itAh4Auym9KikddZses0TeiOwvVNGXQGSDOI+P9rnJwcUfZ+q7Qvq7wdD7wdCH6jaB5J+gNNzPpzykNjcULtne1z4punf3hl85EfnX7Ng3JjxMFs06sKxs9Z9+Z6X3STLte3laW2xIDHrUSKAIAranvw2Ut7WhBjuCzxxAAwbwlk3SdZty/i+vY9vy0havD4UWxyKLw5FG7SIn3qsK0ZUCb1xwxo88VoPBEvDfxWuqrGTL1p44+Jveh95Z6Fm1uC0m2abDKuRR8cqw986blvgWDCS2ryBIMlqfjipd58JRkJF5RILqJEKFZTy0Z79RjugRjLHMviAQ4NFOiRjtiEwsjA3coAfbF7zLJRAGRQVZtDZo38hn1dWiJGOw1A+l74sQLLes1+NdKJby6+UY8Uh3ucgfyFxLBjJ2NhJ+xTBxsLOiWXPZOeVVVhhE6+QxEENWo9Jjcyf6wIuzccAD24liD2GUNjDZ8hBuZHszMLr30ONZLMGhUBIDX4OcYXkr5P+9mQNWwiTg3Ij99x31wvrVv1yzfpXGrfullHMRyCVtFCNVPNqJKRHon4p0vFDHroZByp75RS/4//9kiQJZT/ylq1RmicJtR+hHsmQGFlOh7Qx0nb0Yb4+/RmSDCODqAAjqRrZALmRL+98ZHt09tXDGBmXoKp4D7VNK2RIe11AFocyXtzr1qBUqJ90LUJvSA/86yVzG8adcuZomsVU4RpbdZZ7/td/Ftwe96IIhyKy1hMIdQf6MTIu05RCmhgJka6yBnMtEi13U/AKOr6qp1QgybQEGZKWz7BgJErSbAHYg4pPYJYtaVBMCSZHweWc+nPqpockeL0r0PSHwFeavnTtzLHjQBp0jT795IVfr3nsVTDwRSlVt6imEaVOcT20Rq3lo3WoWIod2CijlAxeArEA6GM9Ek77yH4e9apaUtGSsg4SqF9PLjO6b9Ze9t6xecrlM+xg1oqqypMuGHf9HVdveHN+OOPZ3su1ZfLzSZBp7YXc66KpWftRRTEy14Azq5q6N9zzfMvKH3x93XNqUw/DSCiRdCRBrfkHHE1jgPlaU9BjKuppaH2zZtW2KRdeN3pUNWg/I8+7sn6r2rrTb0BdILAyg6NLQD1fPaHgNK9ZPs3kSdKDEl4CxYXBMN1I1RrpWiPtI1kJ5RSUVujDnVbWgglgmPhBKQHTekpkv0D61KY3A+u/f3ntbVUnTXedPPssbhP36OuNJNmoJRe1gqglghoZVVBMgaLJ4Bkt62Ck5NPjtaG4h2S9RsaDLB9O0trK/W0I0656VAglOJTz4D7eyDaSPcGHfjh9ljBu9CkQvTvuyknuh72h3RIgfVbVMw1aqj4UD+hRWmqyRGrHPwIjYTdULdYApTug3rQbWXW452b0knTzPZUVVPyvrHKNv/RLy8OBUCevJ+tQrhan3OCvkKA+E7QgOMxixvjWDp/WLpAonZjP8Xg/j/YLaJ+g5SQto2pZv5bzh/oUbT/FyH0+knWTeA3u8m3rEsgucdNL85ZuPO/iWWOhAUe5Tpl5bjA8b/OuWpL2tvWK4axMyw37UQKKDsO8PkRAKdjitCRv7OXD+9161kNyYCtnZLi2jIiTELEcijZq0XotSmu9gkqv6h3iY89d1XBfxdSLod4q1PYcVznpmovdD/seesvbFK/VMm6U9dI6deySPszXoqBWIZQuKvjx8XDBj+OWrk6YHXMw8q9wyB9/+u7LuZln/s8k16fnuD492/XpGXQ5b8wbl894ZOV354b/qzCoVQGXgQSN9+knSQdajkSNtB07adU+C/pH3YIq8CWW/lG1jVjw3I7T8on5CoH9ilPeN7JEBEG5oFbn9+3vUvWM/j7bSvGro61BKIeTJMkAgNrDQjF6AbzcYRGdYpWHxzP5YyxPRwN5yWn8Q65QH06ToyTmYOTGVf9+6wO/87bFPbRupJ+OE1iBDVZ0Kq9GgpuACEFDeevd/IpN2vQwizJjJRQTaV1lmDa19VuwZqVBrU5n6pi4FkW0xpjZr/PsPdKWYag5NPw4P+6s0K04Z7Z/5Uh/x/nBQ64UbvHwt1IIn9QKyLbboaY7zGIHhrIciq7QutY3775v3W/XrfoFYGSTg5GQG0In0GlB5gKMZE0N0yJ0ObqWPOSBH8cfYNEKBU8MHIdQssKFJYGzORQYfEIl2KJl6AOERi4diQ3TYQE9FdSSCkpwxLyJ/PlG43/qtdzmzS/veGR7ZPbVH50YBT+GViNjtIITlAMeuEDACaTkoayg94lon4ihVKMUNhWy+4bbyLlXeUZWVI4FQbKqetKN7q/9eMn2uA9FvDgq6BEl1K2CqXd/jL6zzgzECv8sXKcu1QnqLh2X4bwmoaQyfaWlY818TwBTbnYHBiWkTC9Jeoyk1+gStVd897TNnO2eOnoMMOSI8WPOmXvFzd+StW5fqylA4SDWV7EnJn0c529ROoUJ1X5oUeMUBMrSGla0W4JHre2ZhoG1/Ci5DO9pePgns6VlE04bz2J8XZWTqi9QL1707ZqWbjdJecNpn5H00WLHjFSZy1Z+H5xeE1aYGtmA06ubHYz8jdrULUNJ1hSthHNYIRbsx20Q0s2AZjaEzMU0itgNXsZxbsMfZin3Tph0FrTPqDMudq9xr39Sbn5H1iIi2DakVJB5obSmAlzHjMJZc0GpX+jAYIYM3MMESo90W44HIOutTQmleJLhSJrTY+5HX1uwZts1dctcEy52VV068rIVl6/4sdoaE5pNuRUcHdjAhc4IOsZ9sEVaWdikeXdp3i7lBOXFmLcbO8YAige0Hr414UO9PpzzG9aypt/6lq47+7zz4AArp1Vfeff0Vb+Rw2n/tqwMubvxRVqiASJpwcS85OPDbr2CWpEQWZS3OjjSupEsTxXYuHx2H8s18qNIfagLlHzd4lCKD1srvrnLt7bZNaKqyvbFnXiF727fN17i9UQNztXgjAdqo9kTvWy3bS8E+iSFKuFUq2e3DxgbsKcwTBMkJb1X1PeKaB8HwB8PfDMm6a+77//h3CWPnXXhnKrKcVWVJ1eMu2j05Y0z7nqqRuuq1WM+uCshOMq5hvMbhWuYdnL2tDEtIwbzF/TBAjc1TXyNBPSYDNPhloITDWhX3bp/OX9eo2v8RFdVhauiwjXivJNn3jXjtqc8TXGvluFQTqBx4GIZYypnN4pWWMfg1I10MPKn33uBQcrBYYw8YWjtuD3Qg+Ci/un/+xSKOx8FRtKq9HYn4vid5jWfgoFXcedelJHY3w0NeFINqJoAz67Bt1hewxmgNRU+EIq+cuR/Qs2SUovTTfQ/+uiBg98m80QpapB8sxQfxdC7VPJHjv1N1m4CtXYri5GIar95m1aVoq8IruYQ/cGqW1EmzFOuPQ4uDDYuVG6dQo4ORg5W9spdM0xXYDVCSl9vh9MmQzd1yX8t+bMlP/lZvels8Uh+kF11zNYVvILzC4A6jy0YARomhyIrtI71LTvvW/fculVPrln/coEaaWOkXx+AkWwfnF1yVo5k347sgj9ef7noymTzGs6rDS/0QVH6yTD0cZXFSBpV4deTDCN9gJH/ARgZym3eBBjZM/vqj849IepGHhIjQQIayJDMjztOHbFykt4n6XsFtNeHez1tOW570vPIC1eL94w9+TRmtFM16braO/6lkXTzKOJFMR5F5VAPrQ1V2m86H7UfU1Hhwj4cVRFbYjQpHO4BOmZNKKzkVL5HpGWIYwJYrsWAM0nWh5P+cM9y47c3LV058dSJ412uqhFjx515w3R5i+fh1/wQSgrRoewJTnsamPKkZV7zD2I6J8EAyQcGsGmemuLQaVpWxpeSJLIUlAzgxK3hXZ6vkrNnzIZ0Pwj+q3aNv/osd9O8+1+FqVAjxUFRRJA62QIMSaM7Sl7TlF0zDTi1urkrr0Y+qzZ3KgYURbWrqZaY2S39mGB9uV836zVzSWtieWtCQckakHZTXEsHd9cPzrp8oatqgmvUGROv5r60rCXY9Ieg3imFYoCRWioQMv1UvVRRBM4IlKePUciHU5a/YBjmsSga55aGLgfwj0CGgGCYUmjH7Du+fcm8hpNPOwtKjUypm6Zum/vA2yrKia0pSUsrOM2KlVFJs39YMNAhDZ7U+dlTey7APkZkqlpcbE2Jep+qpW7Gncvu/86Xbpg3eSKtPjjm0jPUf3U3JWWS8ZMkdfQBF5+AFld0mitSahaK/XLhTPAxYiRTzguHfUXXAOXzmB9Fghoo+X7N5DSLQ2bjtnbvvd8dNemckbRKZ6WrYuL0mhm3fceHIgtIphZmOgb7trG5fGc4BYoBLd4dkXFExj0S7pZwN63ineL1tESydLokvuJbcf/GZ68P3Hv2RbPGjZkIOmT1+ROuWn7+ou03bHrLE475qEeiDLoxq15tn6yCY7EDXJ25IRX6RbiXVWRjpB/KdoMHhkriy/Hb1zc+PPnCa6tHVlVCvvXoyimei5c8e9ODXb4QVMCz7eDL1Psq2G7xXVAeI3/LoOKjYYw8bunqhNmxY8VIiAUovvLzN0XRwKtomrh/Gij/+XK/c+j34V47PH3vyLdV7iiG2H9HWzv0nh/5/nyWv1mEkY+t/iGokdtsNTIAwRp2xUimRrJnGhibHxlGshKOhRhpz/SJUCqz8IgGtzbr1ktg5D+26Y6zrbMQbuh26SgFZrrpAkUveWz6SMIXjnOoe4W2Z33Le/ete3bdqp/fkcdIqJtNneoClCH9NDeSxvgUnpoTfL3wyrQVIDpd7qw7z7chngxl27AcRrLg/KEw8oZhjAQVOKbSSMJyGCmirAiSRR+Pcj6SrTPSdYYp4T3z7vzBudd5KkaOcbmqK8+cc92Kx+XWnTyK+KByUVTWI4oOQlaeGG1Zkg0unTdLrThgaX+38Ct0Ei4/8UADOezyxygp4pykpxtQzy3as9eK9bRUffXEqdddKW7iHnrFr8UAUfTiqHoJUjSdwBhb14a6RmDckuRpISCag27RKcAE9NmaSWs/mkEcvXX7zhkN36ieOM1VNdI1Ypxr1NnjZ66YfeezYigCGInBOJhFtHJ5oy2eQkvJhyBHwbUBJ1c3dz58z3MtK3/wtXXPqM3tsmHHah9RUCvrHlTdDGrm4lBiSWtcRaabWHWGJRgx/+aXZgUfHjttrqv6gopTrp0yb62y8YVFuDuAEjIE7lp+6MDiVKmmGGmzPSN8eCdPks7dy1ZYNbCohGISSUBeComq2luzbtdPv3o+9fcdU3Xl7fPue0VosVTcJ2tpRU+rKKVQOwdWUXNgxzbgzi/5TwpOSlpSaEmrWu+iUHy1vlO8bcvESZPHAEVWuk6+esZXn/dv26uG0yoyg3o8AMawTGzPmzQMIkm2oc8ZIyUU8+vRoB4JhKJKKKaQjITTYssu8eFnzr+hoXrMKZWuEZVQfuO8U2rWe3H3QpzyIkvRIipNxx90UcFFy1Ji6CxdlDIk+BjJqEdCPbQkN0xwSARymVQ9scKIBB/69Uz36uqxp0PTVZwz/sKGy5b+4MYNb9WgiM+ICbhHtmPgYWZ68OlQ6BCHuQLadzdEqsPtTzEy1khdeaG+M04qJLJMe/WCuctGj5s0sqq6csRY1/iLTl+wefYDybqtvTIcVwRyL3UIXy8/XB5whTiN0I+RRsJDMgVq5DBGnjCUdtwf6BcDI0s+Cpw7cXilXAvkMbJz9cY3vnH3MxtX/fDW9QVBrXk10o6BYmokpT7b6GhQt0UjawarkU6xzSiNerXVyFK5f4WDddahU4DEkG9Ch4ilH7blDvCEed/BSOhJnbxTGjwMOT4+EvOFoxzuWKHtWt/y7n3rnlm36mdr1r/U0J8b2a9G2rF4BfE+J0wz/sOurmGM/PDDgwc/PPjRRwc//Pjjjz755ONP8v99/MnBjz8dwqm1R8QxmhtZDglYUGtGQDkBZXmU4XHaa6QhdpREfC1vzP9KeNosaepldWfOu3PWmh/yzbsEFKUFcG2MLEWJ/WB5FP9ahJFOzr0AKmJKQqZf61jU9MINyx6eeslN0y7nvuRv4r7xqhKKUF0rCZ6xA+beTLD/GVQz0I5yhBlWSN9yNLE8VFgMI/042oh3Xr5UO226b8pV7ikz5dNvvP3qtT/yhDrEcEo0oGgVq/aTz420U6VpXErxntCg1pQXp+uxtaq54xv3/KZ55Q/W3v2M0twuGZZIi6IeHUYGNLMxlFgUgoRDLzE9hsUZCSW0U9344ozF+pSrlk++fOkZ3o3eDS/V44gfm+CsoJl07M6mGI4II+260hItGM3jGE8iCt6x4N4fXSZ8/awrPFOmi+cHn1BDMRXlZD2r6mk/ZKvaloAMI4vO0SH/lLDF6xYXSspauiEUW4k6PKufmHrZgqnT5069qm7qjWsXPvx2IJxRiQWQAya91FDbDor+nIJanYDYcjjEJHeaZx8LaDG5NVq/rTe4rU9qjQS2vlfz1e+fd9Pys69cePb0OZMv5adwW3044sYpTod0ylIYyWbpCiHfJvy8FXOUAx/mBGAkJOHAxMFSHK1/9KU5S5unzfSfdXndOdfcfvWy7y/YtMerQ2lNsEFDERFFYI4ApsNLXMMORhbd3QwjAzCpkVT1lAR5s3EJdyhNvz/fd+eU6fOmXlF79gz1vPn3zLvrFc/WA6LWG9C6g3p3UI+BAfqgO7fk1gvftDESx30FGHnnyvBPv/c8g4thNfK4h6wv/g5+YTCy8NYbXj/MFqDFGxKLWjtsjFz5w9soRjKnVpYbyX6KjT1Y1oBMcytYnmSpjIxCjCzUIWntTciQtH2JBk4Cluwv8l3GMEaW6uwKznI5jIQEEB7K5kV94QiH96zQdq5veee+dU+vW/VTwMim3TKOGPqGHAAAIABJREFUeXFCwDBrDzokHZywNJCC3y/R1Q7/62fYAuUwkqbSQNZV2aDWE16N7BFxNI+RgweFIA1DVhVKcxQgnXRhjqS9huUNRxVth/Tw8977nvY99KK45T0FR0WoXARoytTIoqHksf9ZFiNxTMBRgfSIqD2o71Qfe9W77hl5/Uv+LTslPUZHwAwIS92N5TCSTvUVPmrzGGmqENQKTKKgnrrHXpvzwNMLN/x6waPPzd/yqjfc7dme8rWleYqRRQDJ/iyHkdQtMx3E1sqW9ofu/U0TxUi5uV00WDnU5BFhJLvHFLA8Nes1qyFkKTpEmfogADgl4UQwbCqtuxc++OKCB1+s+carYku7SuycN0WDJ5qfKpDKAB3SCTkuO/VAc/EjEu4RcTdPIj4SEYxuGe3hH/uD98Hna9b/3rd5T5BkVJSFwpsFDEnh/GjikexCzCjBI1PW44tQPLD5bd99z7rvf67uoZfqNryphCJBI6naKSX9ZPW5BrXm8yrLYyRjOSuoJYJ6XNVifpxUcFrV0w16yh/q5De/yn3jGX79k7X3PV2z4Q0BxTlkgX+vDjYbgx6pg+eV82OCvCEzj2NekuAhzDst6wDzQZyoR53+ra8LDz/ne+h5/rHXvS0dHmLJJNWgWwGILE3wKM7Tbm/QFuHmKo+RNK4VZigyVH82Jdwjh9sl9GbNI8/Mf+Dn7gd+xT38krxpp7/VVPVcACXr9Z6g3gMBsfToCu/EkpsuepN1DDyOc0bCi2018q6Vxs+/99wwRn7x+eyf5AiHMbLotj2h/qQYGV8UAox8+O5nN6368e3rf8+1xb2GJYXiDCPZc8/BSImGMbO6R6UYEjw/nel1GqsVEemUroSjEn3yO/ljA5u6qL9gnQULXaFhLMNq5FAkWQYjYQwZ53HURyK+cA/FyB3rW96+b92v1636yer1L9Y37RZxzA01acBTsIAhy2YvDzxrpQa0Q+3n8OdLt8DQGBnQkg0w/Z0okRs5jJFDYiQ0N3ilUr8ZHkK9IShU1C0Bpbwk7Q6nvEZSJJZKzACKq7RgkQAYCWiq6BGa93hM2uNg7CyPkREBcr06RNyhYjOg9/q1Pj/qk3GGx5YAeoudPwZj7vxt5lj9lnkcQ4xr4eC1ACNZiB3YhEDYqmFxbUnf9pRnGzSLpw1sdVgUK4uPdV4dv2ZnHwpXbIwkeYxc9YO1dz8LGBk+eoxktkB+LRnUUn4ojmLBScRpEedE0ifiLNjSEssOacYJSY9JUGkjFtCj5TFyiKDWOC1A2iPhLhF38KTLi3u8JC60pXgjI+CsjLMKzvhxRtXT4Mqb1yHZylGqkZCnFwOsArxJilpKRal6nJHxPp78ScJ9AWLV61BtIggRlVSNpNN+fogFPV7USDAN0lN+PRXQrICegOJRWlyC6OJcAO3nyV73tj6hLa3ieJCYfmTRyuMxQYfSIKxUceG1VKr2VzFGCjjK4ZiEEn4t6Yc6qGkJpSQjIxkpgST4tiS3PV1nWF7DVLHVEEoENVOB2x/clQRweiixlMNI9jSQ9aSsZ2gAc0zCnbyxmwvv9oXb+XBEMCw53CsbfRBWgOMqisIVqNOKQXT6vPBOLLnpojfzGJngDdOHs2IovXbzW3etJE8OY+Q/CWKdCLs5jJFFt+0J9aeDkasoRm5e9ROGkT7DkkNxf7+PA4w3qCc2PHIdpBw0bkkMZMj4QIxkgaksNrV/FJRv8EKMzPcUkEhPvzWsRpbq7PJN55SogUnwfFArDJjpCYrzJOojPb5wN2Ck/t76lrfuW/fUulU/Wr3+9/VNEMFXhxMcw0jqSZnPLxt8jkp0uAX7MPyvR98Cwxh5LEGtQ6iRcEqgeD0xOVplSEZ2ISlJT3Io7SGZWiNbQ7IeMPkwBT3OoRhPYjZGgoRl+2oMpsGjfmcARqJCF7KIhLpl1KmgbklLS9oHvP4Bh/YKYJmVYDF4zFuyECPhiUwLkg56HPeb/xYOXuHx3Z/yDjGiom5xOO3BvTVkXw3ZV0v6vDjNEh5sd+ZS2QuFv1n4FChUI79x72+aACOfcTBSJEdf8EPRLUqSVn3I9GusiGWfgN7n9X0CylHfmrgEvqxxWucDKJGWbQTtsZQaGVFgbnKwLVM+mwJMXDpF0s6TTh/p8ZC4ByfdpNeD93OoT4LqIOkigDw6jGTGZQo1cZF1KHrBgytSTkQ5Rc/x+vte9BcO7VWw1agnlrRGl7TGGkPg1Mr80I43jASZjhaS8etQRQriilHKr+UUbZ+bfHBT+MACYy+HMxJNJaUlc3pEvUvUu+m5KHqGFg4L2HnJDw7yaqSIewTco6JIvRYPAklmJb3Pi/rcKFdH0guM9Lxwqo6YAgZHhwA0GlzzrJIV9V8t2iL8WR4jYUaJxZaDGySKirjTR/a4SYebRL046UM5arSbcZOEx+gRcIRtjuYYF0/oFN415dYLMNLy4azUSjFyFX7ye79hfDIc1HoicNpxfozDGFnu/j0R3h+EkbYa6TMsJRTzU29qNlpgYw8WydKPkaxKgVN0ZIAOyUZHMRFHJByhOuSRYyRk0bNvsdfBMWsluoAT4cQNOsbBaiTFSDhBgzHyzfvW/Wrdqh+tWf+7+ibwE6kjAzAyP8o9MoxkY6FBOzZ8gg6rBYYx8u+LkUxVoyHCkBMIkYd6UkQpDqfrjPRCI1UHhpww1qRSpI2RrAAgNfYEpf6zWvI3GAyL7YIf9NEpAe1EVL3Hr8VULSvr73PgK5sWAfziKgUkqB5BK1XaIiSdXjoWjGSxdqDN4r46fMCND/jQPklPB8ARBHwsofjBEWKkl7Cg1g4HI5XmPVLYFIh5LBgJkTA6REsuohBFC2lkJX2/pO+T9KyCklCtEcg/TuHfRsdSAGmDJc2vG4yRDF2iMopQNbJTwF087uFwjNrVZn2oV0BZNh/xWWEkPcUQBeqH8M6UQGOwRQTOPZLeK6B9PMqKyKzX4staYVkcitdTjGTXJPijlj9HrMNmLnnH6tR6qKBWpkYqeooucN0qcCFZqp6W9Zyb7Jtj7F9I+nwUI2mtjpikd0uoU8Zd9HSwOVHnoXlojJSoZasfdTVoPfVaIqBlJL2Px/u9qNdNUguN5ALD8uGEAk5L7Fwz1z6IfC4s+FHYdR0KI50MHHDr8ZFuH4lwULU8LetZUU9z2Kw1ogvDPT4So0HOSabkF8UFFG6x3HoeI00ejiLnYOTPhzHyOEerE2n3hjGy3P17IrxvYyTNjXz47mc354NafYYph6LFQa15m7EBGOkwJKzka3j210KLieCaznxW2St7kg9GlML+onjCMZ9OP4yRTvdatDIkRkJQa48d1ApqJMXI1TZGCnmMdMSV/Ch38Dnq36hT+cNZOfHqSfa3xrE/K4Yx8u+IkSAFUE2SpvNBch3DSBnqSaZ82HKTBM0PdsrgQgUOCQad8LSyC+UNKj919O8PDC2wUQ0CCUBGA3sSLeHXUoqehZp1GHYDnDkhaxlSyIqkSHbxlb2AKF0UKocDa2rZhQ0kZNH00V4e9Up6zq8nGzTYol1DrzyiDL70fRiihVluZB4jn1ZadkvhhEASIjGPIjfSOUbwH9ITDaE4VO0DXSil6DkVTG5SVPtifAjNSC1Y2RmE9cELPbnsR0reyeCyI0HvFckv4MgC/kasnjVl2qPDSOehybwB2aNTgUMz/fDjSfBuobFAzN5ThhohFrhpa+aiVlgaQmZAyxcmPRTqf74YCV0RLbHT7ydM7xQoeuHF6Vqq/PMYsnyhHSD8OMJKd+QxsvB0FA4LSquRkJ2Iu1XUBU42WozGPGckPSegFI8SXhL3ECgBCmHAtvIPwwt6PUC9zcEX8CHVyHwHCbHEAo5zOCaghKybTCr36wkJRT0kWmPEKL5CwRL7+VPKFbbkDjhvFmMkC2pdRX7+vWcZp1A18pMTiVmGj/W4a4FhjHRu2BNwhWHk4taONRvf2DAgN9KUQhF1YOIAsxljAxIW4Or0hgNXiipt2l35oXrtwr6D+eQVfTFmlyMeOAY7Ac9aqUMug5Ew/AO7kP7cyEEYKZGYh4D54uFjpDPuZeOfwld2JQw7J5c6R4VXePF6WQqgdSOHcyOHdmo9RFAruyjZZQonhmKADE4bMJal8WZxgU590bxtW6ZgnpNHeiKP7vPsjqLfhaoAflBvLFm3WIUDxpbMHbskQ9o0Ugr2mEhViJED99AZprNoeDCfpD4lZkCLqzAgPgo1MuklqSAxV7bsKcDInVI4JhixY8dIqm7FFRsjwZGVspwj2DrzlCAZ5U8ik49KvhbfigXtYzcOeKLqMcUuOAlRkTRQk9bepGeKqm1wythSzn6G/XLh07N/neWvAqPC9ckstiVw04HtUtUa9EYpH5AMnTHkx9KKkYc6R58vRoKcSBGRUuLA3prG61r8gCimuIhiIgYzdzpxU3Q6nOuTMaTtoJufV2Yz0xCzRGX8CC0KCjGr0Iw011QCTz+Ic6Y2sMCTIswNQTAzpcGjxkj2RZpXTDNJaMS1FaDmwDKKga8dTgj0aWPPxdDTVP5OLDpw+0+4QliVHaZGDmPkccdQwzv06TBGFvQapW/kL/AHHIy8owgjwyUw0pk5BadWmiFZpmUKn/yDO+7DbOTBX2TvHObXT7SPHRIj806tgzBSxFHvkWAkG/lQhwLb+Z8ZN9Jrya5/zj5zpD1mmcvphDiVbLRQIjBtGCMPo+DHITDSubDKXpEwIgdkKvuBgaNh5wc/w5Uym2Y7VnqwW7j1shfQIDWy8FtDrdP8MfuKZKDivOKhyjT7cNJLkkGSWNmy+xv3PktzI3+ttOyQwlGKkYmjViPZ3uYfLiX7g7JhikMdaZmT66jNFOwBHf3gGQMLlKNkJgH9Wab9GaeHhZG0De0ZOMb/TvOyFfsDCRrkQ18HVl6B8jDOJ8vMILCL6nPHyLKP7P4JnQE7zDwVSp67wsFEaTWSMaETO5CfrrZjn1i9Vkc/pPMybH56qNCmoYNaqYbJelxbd4VQXvAWSrLJKUietFHWbgp24GXu8bLN5UwPQRc7FEYOk8xwC/wjW2AYI4+if/nCfMXByGI1sgxG0klSiNGg6eVDPf2+ME30T3IgnztGFtQhH4CRbPAz5Djzn6RJP9fLuywFDGPkZ4iR5a68o6jnVu6njv39wSPOwe8M3krZC+jIMJKxmU3UhWEGg9fLjYlLYeRTSst7EvhYxkRyrBjJQpQLzFEAP5wmKrdXg1ts6HcAvQYiol83A3QBhnQwkk6p2gmHh84bhGfKEGfKyaBz5pOK3uGxyeUXfgCJDZW/evxgJGvzUi1gQT2bEjx/OBhpq7X5UAImNjpuChDLypKQ895xjrBZciYCztGhMNKUUYoulB5hHVZoKC/V86l7EAsfGPoyO+S/srYaxsh/JCQNb/tQLTCMkYe8kb/AHxiAkeue3bwyX/ADMDKaD2q1hxY0NANsKSTwMmBe8Z/rUPsLfCKO+dCOHCPzFjtHo0YOnBYvxsj88KbUqGD4gindAqVGVnRkOIyRnwNGHvPtV/qkHt3POkRU+HX2ZuE7RetlL6Ajw0iTZQ44+zDEStEOOH+Wwch38xh59LmRbBPOLjlb/HusFGIkkyWpJgkk+ffDSIcey604NVeK8LLc59kj+PjBSLhKyyuopTqMw8VIBooSJca8IMnCmx1oLLlSWuc/DIxkADngNZ8Ryt48mtqhg69kByO5YTXyUDAz/O//qBY4UoycQz5oDEUaQhFVSyha4rCDGwffwqXv38H30fA7f78WKMTIR9Y9u2Xlj1eyupF5jKQPdurCYLtkW9RW3YKOtcTU4Wc5mvr7HfUX8ZcPiZH5upFOUOswRh5PF3BZCjgkRs6++qNzR3462QXL6a5PJ7o+Pc317iVTrKd+dfCjg/918KP//vijv3741//98H//9tGHfzv48f8e/ORvBz/620f/+9cP//a3jw7S5UP4p9LLR/QDH5X513LfGvC+6zC//OHBgx8e/Oijgx9+/PFHn3zy8Sf5/040jDy6x1PZC+iIMfJYH+IFGOnkRj6ltHxmGHl07XOk3ypELzZpejxgZDlcLPf+8YiR+VnGwft8jBg5SGwcPOgc/E7pYejRYSTVJCHjmi7Heh+xK5bd1yBBl8fIg/8oehje7nAL0BY4NEZOdX1y3pjXL5+xYeV357T91zBGHml/dDx/XgCf+dji1vY1G1/fUEKNBPsJalIAbgvMGZ565kNQz3EVCHY8N/Lnsm9lMJIV/Cjh1PrLdat/uOaBF+qbdn4mamTJyfFSo4LPpm/9XJr0c93V0hQAE/dwZoey2BnGSDDnwLZF5xfvyjjMIyp9AeWH7J/nrejDSU9xbuRTcn9Q67GqkYfZIMf4sQFqJJiyQp/H4lptNZLOpBYFvrI/h55hHfpMDYarY3mnHyMHBuiy/eSMdB1ONWrxdc1d6x96496v/3btXS+sfPjNhpYuN054Bk1AFLXJUbTw0Mde6io9AjXyOMDIz0aBLGxYaDFEI5kZRrK6kSvJkwVOrcMYOUxz/9gWOARGTnV9OtX1yfljXrtixsOrvntT23/dRD5oGFYjjycdo/CZc6TrFCOji1v3rNn42oa7n9mUL/jhpWqkQut1SzCQNVVaSVihSShKPq7nSDc3/Pm/WwsMiZEkCqWtwt0c3rOCqZF3/3Ld6n8vj5Glp2jZzrORgFCQG2mb6+SHrBC1NJwbeYSPiBLjK/AQTVLxfzBG/n/1odzmTS/teGR7zzBGDmPk0Bl3R1Gt7lieU3mMjK9s2fXQvc80rfqXtXcDRor/P3vnARbHde59bMe+7bm5+RLbiZ3kliQ3303suMR2XCRL1O0FEAJ2lkV0EL33IiRgy8wsSG6Ru6olVJAl2VYvFnXp2xsgyY6VxLa+OM6NLdp+zzlnZ1iWBYHEAoLh+T+Hs7OzM7Nn58w5v/O+5z3OuZF3HkYi6IKrcTidWmmSXHYY+SHCSNZSx0jX5aRn47w61Q6Jtnhu6qa3RhqCwao8Zmh4dE6JpMyP88+QdFRDMG+EtHCJIZHcnlZ9KcsFI0cdjrHFZQjm7Cu+BGbCyB/7OH4ENPaf/+iKkWEKXZiLUyvduZzS9EwdSHKty57r75SDLKhNYKWd3YmRiukw0tmLFYGhTFMIWL8X/GrBMNDAvEwgX2kF7rXv64aRNgGOZAELfswKI03Uqt3TLqaFLt4NI93tkPTkl0UNe+m1cvbW48gdI0ExOkM2CHBriMoaprSIcSOHNK8i//SC+m9hisHq6hPt5Vu1z/+GcWplrJEwcAs1fjMpHM5tjOg4nTnhPHiUd9visZq5YGRHce7hmoQ3UrMP0BjJp9aNRKYneqIjyng84KJsBN908kqhyBqJYBJ547jtMPFyxjEkUNVdfyl6+M0LGdoaOXFt8EsFwzkq7tbINM/WSPo3ArFnoFUTeSLR22eTQUTk/pib/JXpe8DlgG6rhxmFE4t5oiU9wdIdt2SHvAlG0iFeJ2fAMiEURs7nHMgZbnIhXPOWT1p4+JBYbk+vvpTtgpFjDEaueIpb9ALwiJH/+30fx098HA87MXJ0BowEy/MAzc4fgcFIb3VDZ3gKzfDWtNZINQixQ1kjrbDtMInBYtQAI5E1km5KZjg+89ZClYAbRgL+h4LrRrpipLKtoO7j3OzGzMR3EymnVrhuJJgBGzzjYlquPQFkjQR2SLpTBLsErj2BhfruS6tO3dq3dvYtnRCOZiCDXgr6HYNVlnVKM4WRf3xB/XWY0l5d/VF7Rb32+UdXIkZulL6eVXExWtEfrNQy1kjaajEJIJ03E6iinprn2VabqS6aU7e43vRcuOBHGGFMqOsoyT1cEw8wko7UijASXefkm/52r9P1GryRRwTldFul+j23cKKp33q6X+32t1O/Ox0lz5lBbTlHbZvk1Jp2LDXjeHzpxfV1vYGEMQjMeKGGJ+C9REPpTe+3qVc+8a0no+Mkl13qLC4fN8GVHtF6j85VH9Eik3QKl/pw7VnOKT+dNWNmGwhYG5PSbOvRLdwq9EcEhJlPWhFGZkCMbKScWsccjvGpGOFh09SdmC1MCcxPCUzGyFFH66nBJx8CGPljiJE/nGSNfKHh+gvqa5OskTOFWpm5Jk5XfxeiVtLVc4VnEEZK5F3JlefLsppApNb8j7gNRo7aLAKRWi183MoHfVkwQ1KAG/k4WFAXrYGMio5qp1x/Nfc2C8Lnwm90vaRln6dn9YPo95NaYcLII/RcUstRa7l4d7Sy3Q0j+YQhCPjLgOWaqeW1PNfNiZ4AbuajEVK6p0r1DTzdD8u+8OfhC7qWLe3LKgRVDyxwHawyUxhpWkVee0H91zClrbr6w5WIkZ/3Oeoy9qdEvZ5ZcVGm7BdTGCnG9fD2nYcf4w5tFVxsOOAZ7aqF/EZcwsohrOsJY2JdR2nu4br4N9KyDwTXOhf8cMVIl+fUkvaDpx9qtE1v+sZvVref60/j7Ty81KldMWDBc8XIwuILeWnvp2ccSyi9sL6uN4AwBkKMdP5GlE0bFQW6ZvAWPY5ItwQzZ6h2YhI9um6c+nHXd0HeKCAMroLRWWdV7AtZC+b3XALCwidtPPxysGIgY3NzVhzRuP0IIgAPGDkOyZIhyflBJOYoNy+ByRg54mg5OYGRD/k4HgTR/0b/4x/OP/J4ScL25xuuP6++ts7FqZV+rnrI4DDCJ+ybTvILgP4UMw9ozm8dZI42XQkICJMQ12PyrpSK8xVZTVvidsVDjOSqzcFygJE82CXggKWqTDzCyCVMXLjYA31AuoWlt0BonNOAoDd29gxCLhe5LNsdZ28BhT1Hy2gBp1ZCzyN0XLWeh/duUGoK6ppzsw5kJrybWABC7PAJQyAJOn5Tfkpk4XSGNEfBzCkjJ23tRBkL3StAHQy3cnbrKbm9y7yEJWBxDRfvUtpgNbUQJ0YaOKRxlfqzF9RfhSmt1dUftFeoV5w18s99jtqM/clRr6dXXJQq+0UqLZ/QCwi02vhMS4oz99nClACXsHIpjCyDGJkOMVJUrxOQBgF0aqWfF26ZKc+gJfGYnu6qptu+MOU8u7Og4dupTewERkaAEDu9hcXn8tMOZ2QcSSw5t76u1580ByJ+Q6xI510xzx3wIFUuxEaTACCuU3fCr3C7tzGNkSHKwawtLRAj3/eMkTRDMhh5c/xh9pifEpgWIx8GwXWcGPnvTox8buv159TXQhW6dQqdWGkSKUFn3dXXY/KEczTbygjnXLmkIOYns1zE7T5YZteI3OQsAsIkwvVSedfGivNVmU21cbsSIEby1OZQuT6EsKDg7WzSzCFNXNLIIU0cEoQNm8ZPamqbhZYCRn08lN7ORIapreF0W1YaRroON0+UuRA3ABsyYeQTBp7ayMf7Nyi7Cupa8rIOZie8m+TESH2g2sIhrSiWkst9ZaHWWAYrKlOTLT1mrBO9QdjNcG3ZJ9vZprtzbnKjulzVct3TSpc2WtcamiKdPwqKECnC9RxSv0r9Bwojj7dXkNrnHxn5j3tX0IIff+531GTsT4p6Pa3yokTVL1RpeYSez2DkjPPxFrL+uFojEUYCa2Rdm6heJ7wzMdJ7pTd1BqaH8fjJUzTntEMwNZY/ZfYgwkh7ADEQrjRm1vYUFZ8uSDuQmXE4qeTs+ro+P9IaQMDHuitGLgQizplFXRsb7/1Si3hkODfSaY2EGNmaFUfu3z4FI10BEuXnhxGYozAlcJMSmIqRA0/86G//h5oY+QAgyZGf3nf+kceLE7Y/u/X6s+prwUpdiFInUpqEShCwSgx9riYDJIjCMrMYa+RiPZdQyyWCkztojEytOF+d2SSP25UEMZKvNq+T60NwiJGEhQ2tkVzCyCFM0DIJfBqFLjEIqO/iCjMI8BDSzFdYtemgcer2FY6ROhGOylwPbZImAW7ikWY+rt2g6C6sbS3IPJQbvzO54ENojdQFgmECYPVydlGcPdIJayRCmmlMkdDxkhoaBmPEIJzvhA8zdLIFG2m5vrtIDs8Tl7dkLmCitNHyYzRGoqnIIaDC6jmkjsJIS3X1sfYKQvv8r1ceRmbuT5RNYCSX1PMIvQiQJGONXPxRFoSR4YQxsbZjKkYK70BrJNW8zX/Zui6hMXOH6dbeFYMH8dTW0YjC0rDVA/7E4HqlKaOuq6j4ZGHa/qyMg8klZyBG2hBGglHAJUmP9FUtb4xEo7B84NRq5+GXKYxU799+FHXtJ5xaGYy8Cewwb3urBDxg5OPuGDn80/vOPfJ4EcTIZ+qviVQ68WSMnN4gOS1MMhjpvbZp5iPTy3WIVWYBaGWc1shNECMTndZIE7BG4hYebuUC11YzH86N5CGnVtwMY7cCXzsU+VwMHJU9NlgMRs5/38PT7+ta+AbIkAAj6fliQtzCJy18lS5G0V1c21qYeSgvfldK/ofrwbqROhYJ3JVBiB3kKUDFj4DOqAAvp1oUqWlNYGVRwIdgxsqEkFctmmkpxCe2o33Qu9N0bzz2eVbCRpNbyAYhbqHX2gkFcZJNIlzHJbWr1J++oP7LeqW5uvpoewWhe/7XI/8OrZH3gwkIju/7OO73af3lg5aDB0ZHRq+Pjnw1NvLN8DffDn97Y2T4xujYt6PjN0ZHbox8+83wjRsjo1DD4C3PGoE7jEzz7nSfmrTdZ5YfHh4dHR4dGRkdHhsbGR8fG6f+xsZHxxwjo46/OxwjjnHHn/sdWzL3J8heT4XWSIFKyyH1PJJxal2YB83Nz0JjZHJtR1nOxNxIkRpYI50Y6eobifLTurjc/IyeHoh3xqcWGyMH/YmhMKUxva6zsPijorS9ORkHUkpOr6/r9SVt/tAaORNGTv0RF3jLCrhnUPnzCSufHODhV0KVQ1lbWrPi1Iw10ltIxBx37iUwG4y88dP7zj7yeGHi9me2Xn+q/ppApROqdAKVSaA0wzk8oKMpmqPnBR310W3eFPPS2yVA/1IiiJFCXC+BcyOrMpvq4NxIFgic1vsaAAAgAElEQVSxYwqW60JwGGKHADPfhMDEZOSDGZIAKlzXYYYmLCOM/Qa6+y4T8wxCXD9FBjRnz8upydvFuMSO7xoX3SDEdVCo8I2Q9Kx80ipQ6WMV3SUQI3Pjd07GSBBfB8WBF6mc3Aji6FCiuBF4pU7RBEbyEUzC28A5ORNiJNo+9V0v3wbgbrxD5PmOFeNgoR0kIa7lkP2r1J+8oP5/YUpTdfX7bRW49vlfj/77vY77AT2uIIyMl72+sepipKqfj/ezSR2PRMZ3xhq5+PiE5kaGE8bkWk15TlNd/Bvp2QdCatvEap0IYKRJRKLBp6nPEfDcuXOZ8BaufLEwUgwXyWCrAUauUxrT5JqCkg8K03bnZOzbWHJqvbx3LWn3J23OSK0erZGgGQDhvxZdcLDtFtdsFBOWJS4RYRGSVj5p55NDPOLTENXVrJr2zNgJp9aJKZCMNXLu/MN8Yl5KYPYYWZC4/alt159suMbFdTyVjqsycVQWLm7jEDYOYeUB5JiDeLiFSyw58YD9bUUI/FjQW5VDGMLhupFVWU11sbtiCk74bTMFNphFCp2YsHJxG5ewgrUBQZhWZ4gdAVw6Ei2dRbksgljcYB8wDQ+IRxhgZBfgbkZJBzMGHnjX2zLxcPMKEgyARJWqa8mD0oYVzcYj7QKVMUbRW1LbVph5KDdhR1LBh6G1Gg5p8Febg0jnrEUBrMWobnKcAZZAAB7UOZwmBYFekZDPM/2SzqDt9Ls8an+wrjIjVALOJ4+VhwPxYQ8Nehobg1VGMa7nE31B6r7n1Vefrb8eojJUbm5qrVT1P/8rYI1caRgZJ3s9qfJCON7PxftZaj2X1Alx4NS6xEZ3ABetHKGxYcoaaUqq7SzPaZLHvZGRdWBdXXswhZFCTxjJp0anVk5xIWae01zHue4sgqO/UwfSRGD1RSNLPehHDK1TGVPlHfklxwvTd+VkvJdScjJM3vciOeBL2NGCTmhpYPcUjTHDSO4onvtipdQCu063mTndPyLCssQlJKwC0sYjB3jqK1zis2D806yajswYopGaGwkwAKEkg5HzgkTMQeZeAjfHyAd8kDUyP3H7ky9df3zrNTah4+A6FmEKJKxB5ACUnUXa2IR1lmKBD9qCSFsgTFF+cVP6SliEbXkriHAWO0tt81NbAtTGUGV3QuX5qqym2tidsoITq162rNlm4asMfMLKIgdYpI0DQ+xwSCOLtLBIAJbI444P/F1R6B0jhzSyoTikCWYMLLWepdYHucsQpDZ6U6YgtRnKEqReOTJNKVJU8kYWaWaRNhY5wKkf5BHmDYq+4roOiJHvJhR+KJJ3BdSbVjfYfOttHPDLArGdtdJO1W5Ux2dI7bdceeFzw8YmGKESsLOJASQOYecSNj6OouwYhbieS/YF1vc923D1mYYvg3FD+Zam5kpl/6pfjfzHd1YSRvY5Nmfuj41+PbHywnq8n0PoguqNHLWBDwLtGKH13G04c8KkTtvWmYyXSkBAWtngcWNbT5iTarsqcpqUECND6zrEar2ANPBJsAIenClh4YH2Y5IE0JMbtS4rIRXhFrE3BcHeJCSM0JsIzFlH475gpgFuClIP+RGXnRhZCjAyO/O9pJKTofK+VeqhNYSdR1jgAsGTfiPqJ7PyCNtSEN8Z/825ONKcrKNC0rrEJSBtfNLOJQe59Vc4JMJITWYMyWDk3GGH+YS3SmA2GDkMnVoBRm778vGGaxxcx8V1LNwUSFgCSVug2kmSN+1KsihoDCRtAWprgNrqDzAGZBZd/tQ1BKqty1sBagv8srbAertvvdW/3hSi7I6vOl+R3bQ5doe04MTzr1hXbbNxcBObtPurB/3rBwLqrYH1lkC12b/e5l8/EKS2A+QgAW+wSAvCtkAnvJkDwW9qDqg3BdQb/euNfu4y+dWb/OrNXpPFr97iV2/1q7etJFkml6cJFHuDwa8e/mTqwUD1UFD9EAc3Ryv7C+WdhZmH8+LfTSj4UCjv8qs3Pb/VvqYB/Kxs0s4i7UFqW4DaHqAeCFAPzk4DcH/0KTvMz5T6q+1+ars/OIU9kLQHMZpUAgOBJBIYmwOOHoRFgBuFhI5L9gaq+37XcOWZrQAjKzY3NVco+l/4H4CRD6wYp9Y/9TmqMxtjot9MqPo4jNCxCWNgvZVVbwGxpAmzqwGdyls4IOS0hUtOK7QDk95mCQAfBtIWBGq1NYwwJtV2VOQcVsW9kZ51QChv4zUY2GojS21l14NhJ7YncUkbn1hBEhA2AQEDYcMMejkvKQiuDY5pBdFZPMjMJywB6stryKshKkuqvCu/9KOC9D1ZmfsTS08GK/peqB98kbRzYJXhkBY3zVCVFuUtHukRdG++ka+2LlkJ1FYBvDye2saut7Hr7Wz11WDicmYtcGrdR1kjgSWSsUZ6i4+Y486qBGaDkSM/uff8rx4rjv/9M/VfPEt+FqLQhsq1YrlRqNCLlPpglQFO3TGEgMwMMoZSk3ygj5Zr8BXXBSEWOT9lLt/U2X13+han/5cITFoziAitRN6RVHmmNPtQRfwOWcGHAdvMAfVWnsrCJexB5CAYJlDbWWori7QCxiAHOeQAD7b1PGC8sqKGA7U4XNjisEkLmzSz1SaW2hTkWWYvmwqtQWrbSpLVpTzNsMyNQWoDJHx7EDnEIi9z1EN8lWmDsq+wrrMw43BB3I7U/OPhNW08UuuvNrDIiUmtAtwAfZhNyGJBz4Tk4yYQaQnGW4Ihl5w7wO0GPjFb8QgDF/g8g/0FwLuK0aQSAOUPSkYvxHVilS5YpVun1K5XaUNVPUK815e8spb8UiI31FU1aUrlxuf+Z/TfIUY+sDLmRv6x37Epq3FD9DtxFc3rVAaWyhxIDgSpB9iEnUPYOeQAB3R/kWwc0kr3gNmEmZFXS4ADpklYA0lLIGlYT/al1F6qzDmgin9rY3YjW34psEHnT5pB7Bb1oL96MJB0KoAc9CcHA+BLFjnIIVaQuMQglxjk4SCdX1HHHIBeDXYu8G0A4uE2KCsPt/mpr64iPhXKrUmbu/OLz5RkN+Xlvp9Uejq4tnMVYXqRMLEJA4cwsIH0bDBk4xSH0FHScojFF5fQcXE9FzfMVTzSuGTFJ418eHlc0gjcuhr0LDWwXafXfpwWR+x5fWLBD2dP382pdVb9f2YnpgTmoQRGHY5hh+Mrh+MbcLARR8tJ+xM/+tp1wY/7fcYevufSfz9aveG1AOXnLPkf4qv7Eqq0cVWGuKruxE1tG6tbU6tbUjc1z6iW1E2tSBs3taZsakupbk2ubllqSqpuSVwpakusbk/Y3JqwuTl107nssg+LcxsLk99NzDkSvrk9tLY3tFa/TmkNVdpClLZQhW2dwhKmsKxXWNfL7eFyW6TcghQhN0fITa4Kl5vCFab1CuN6hSHMg4xhCmOYwuQ1mcMU5jB4tSsjtcKvaabLcx0oW2OYwrBeoQ9TmNYprKEKe6hiYJ3SGiHXJtV2FW1uLc8+VpW0ryD7SHL5mbjaZmlds6y2Jb6mNX5La9yWtliouC1tcVva47a0x0+oLX5LW0JNe0JNe3wNzNS2JwC1JtS2xNchNcfXTSiurpnSJSoDtsTC7fF1zQm13tMlbx7ce5fdHF/bDAvzUkLtxwm1lxJqWxJrNYk1fYk1PXG1PeF1l8NqP8/YpH2t+KC5oM7+9C/Hf3rPSlg38hvQPjkc17RjVVn7YmXvJpVdktRpRbV6gcIiVtpC5VbwkFJaw5RmKFOY0himNISp9EihcjD86VEh8n5Gt1cCfSHyvpA6bUidVqToEys6ZfJLmZtPVuXsq4t/e2P2fu6WMyyiL4iwBBJ2NjnEUQ9xySEeCVKO2ikuOcQnh4TECpKIGBJ7V4NiYiCYGAihFIrbQ3HbOtwaitu49Vf9iCvBtaakqq6i4vPV+R9VFH6UXXJKtqlZIO8UKbvXKbrCFF3rgTrXKzRhUOsVmnA5rY5wRfsiqQ2dd728PVyuiVB0hsu75qoIRdeSVaSiSwIvb72yS4Rr+GSHAO8JU/ZmbDmdGq/a+cYRZIYcoYyRwCZJax7QgDkEUwKzLQGEkX+ZjJF//b6P48c+jod8QO/kBz6OH93T9vNHldJXg2s/D9/0aUFJb3GxtrDYUFLcUVp4qqzgaEXBkfL8w2V5M+hIWd77SOV5R8vyjpXlHgMpVDmVobcsTKY87xgtdMbSvGMl06s079gy0vHSvA+K844X5h8rLHi/KP9wYfbe/NR3ctP3ZmU3JRWc2FByMba8PbZME1eiSSjpTCjuSCxuTyruSC7uTC7WJBe3Jxe3QbUmF3tQUnFLYkmzJ7UkFrcClXhHxW2Jxe0rSeB3SSxum1Sexa1JxS3Jxc2JJa3xJR2xpZqY0o640uak0nMZxScLCj6oymyqTWnclH6gKPtQbt6hzLyD2XmHcnMP5+Y25eYeQcrLPZKfeyQ/50jBhJoKcw4X5jYV5h4uym0qzGsqyj9SmH+4MP9QYcHBgoKD+UAH8gsaCwoa8wsa8woacwsbcwv35xbuc1Ne4b78wn35BQug/fnwYu6o9ABdkrkFB3IKmrIKTmUWtGTlN2cXNCcVmhKLPinP69ydsedyRvXgo/81/tBdjgfhs3pZL/hBY+Tw5sw9yVFv5pacTdrUKitvjqnUJFZ0bizTpJVrUis6Uiva0irb0ipb0ypbaKVWNKeUXZxOyaXnGd1eCZxLLj2XXHIhueRCQtnZxLIT6aVHiooPVGXu3Jz8dmbm7oiiI+urW0JqtOtq9eFyw/o6XXidLgKm4S5pZK1OUqvDYCpZASlWq5PWeFFRNdqoGq2spl9W0xdd0x+9pW/Dlt4NNT2xW7pjtvRgdbrQGq20UpNWcrEk/6MtOUdqsg9vymsqLDqWWXYys/xkVtnJ7LJTOUAnc8pOIOWWncgrpVT2Ud4iKbf0Q3RqmDmZX34qr2xZKb/sVEEp+EaZFafiNp2S1JyRbL4Yu+nj3PKjWcn4jjePjDscow7HjakYOdvOP7MfUwLzUwKeMfL/uGOk5uePEtirYTWfR1V9WlHUW1WgLS/Qbypsr8w9XpLxXlnm7tKMnSXpM2hXSfoepNK0PWVpe8tT36tI3VeZuq9q45JQ5UZwMRUrRuD7btxfltpYnNZYkH4gP72xKH13WepbNSmvq5K2V218Kz99Z37GvsLUxsKUA8UbDxWnHCxOOViScrA0+VAJyBwoTmksSdlfkrIPpvtd01K4vTjlveKUvTB9zyW/rzhlvzfVWAyubaWp0a1IS1L2lYLy31e4cX/Bxv35G98rSt1ZsvHtko1vl6bsqEreuTlpVw2ofe8VxL9TkPhuYcKOIqCdRQm7kIoTdpbE7yyN31nmovK4HUDx75bH7yhP2FGWuKM06Z3SpLdplSS9VZz8Zknym8XJbxYlv1kI9EZh8utuKkp+vRiqhMqgl/OWJsHjg/QN+nrQVRXDa1vC6VslSW8XJ71TnPROUfLb+cnv5KTszkxpykg5nZ1yKnfjqY2p3Snp1qqNl/YkvjOYWGr974dGH/QBGPmgN5xaR2+MjN1sbclJq0ROXSRyvtaNdGLkH3XDtZm7MrDXyoo/yir5KCGzKSP7g/zMD0rSjpemHyvJOFqS8X5JxhE3FWccKUo/XJR+qCj9IEwPTU4Pwu1MepslAIq3IL2xIH1fUcbu0owd5alvV6W+VZr6ZnbKWxnZTYl5JxJyP0rO/zAp91hy7tHk3KNJMHXNp+Qe3Zh7NGVlaGPO0VRvKi3naHr20fScI+k5RzKyj2QCHc7MPpSVfSg7+1B6zvtJ2e+nZh7KTW8sS9tdnfJubco7tSlvb05+d1PKzqrknVUg3bUpeXdV8u5NUNXJu5egNqfsmazdm1N2zVo7N6csRW1J3lmTvHNzyq6y1D1pmY2y3KYN2ceTMo/lpO/OTyF3vXN0DLpnQIyEkyORKXJ+uIA5ClMCcyiBqRg58PiPvv6ej+PhSdbI9p8/qsBeFdd+Hl71SXFxb3Fhf36RvqhEk1t4MjPvcGbugfSc/ek5jdMpI6cxI+dges7BjJyDmdkHs7MO5mYdys88XJh5uChjSQjMFsucVoXwUmfY4Y57qxAWe17mkeyso5lZx7OzjpWkvVebvP2VBPLd2OrXE6q2JVW9lFT7crzy5Vj81Tjy1Tg1TMlXY8lX4tQvx5EvxxEvx+FT9Uoc8SqQ6tU4pSepXo3DvSni1VhwkStGavhNiSlFCsr/lTjly3HKl+LlL8XXvhpX/Vpc9dZ4uTKhoSbp95tS3q1K31eRcag0o6kk80hJxvulGUeg3i8F+ffLMo6Upx+pSD9SSakq/cimtCOb0po2pR+uAmqqzDxckXnIVeVZB8uyDiCVZh0oyT5Qkt04VaXZjaVZjWVZjeUwLfNieqAss7E8ayIty2xcwjpQlnmwPPNQWebhssymksymoqwj+dnHcrJP5WR/nJd9MS/7QmqONiVnsCKzdWfKDntymeX/Pjz6I8iQy31upBMjP9OPbsncnSp5rbTow4yiD+LSGtMyD+ekgYGuoo0HCjc2Fm7c70GpjcXpB4vSGovS9jPyTgk0ouItTttfnNZYmt5YlrG/LHXnptQ38aRtL8WpGpK31Sa9UhW/tTqhYXNiw5YEoM0wdc3XJDSsHNUmNNRB1SY0zLvqEhrk8Q2K+Hp5vFoeTyriSCUQoYzDlXG4CqSkPK6hLm5rbfzLNUmvVie9Vp38elXK25XJOyoSd5Yl7ChL2lGWuKsscXdZ4p6yxD3lHrS3PHHxVZG0tzLpvcqkvZXJeyuT91Qm765M3lWZvBOmu2ZIK5J2lifuWJqqTNxRCa5tZ2HS3pTUpqjMj2LSTqWmfJSTsqcgpX7PO0fHHQ5IkuPjKMYOCrQzh84/sytTAvNTApPmRo6DuZGDj//obwgjf0Q5tT50T8svHt0se5Wl+Jy35ZO0it708v7kcn1SZU9CZWvCpub4yo/jKi/OoPiKi/EVF+NgmlBxManiQkr5hdTyi2llF9PLLqSXnV8spZWdp5Vadn46oX1Sy85vLF8mSi0/l1Z+PqX8YlJ5c3J5S2bJxdKsQ3jiK7viKo5FJx6NiToYhzXFbng/JvF9WfKx6FSojceigY5Gpx6NToPpxqPg5SQdi049Lks9Lks5Lkv2pJTjso3eVOpxWdpKUjr8sqlTihSU/7Ho5KPRSe9vSHh/Q9zx6Nhj0Qn7YnJ/H7dZkdRQkfZObmZjduGJvKqWrKq2rKq27MrWnMrWXEp5la15Fa35lAoqWguRypuLKloKK5oLKpoLq5oLqi7lV10qoJRfdSlv08dIuZs+zpmkizmbJpS76WLegii36sIdo8qLuZUf51Zeyq1szqlsgWrNrmzLqtRkVnZnVXZmVnTGV9hiK68Vlfa8lbvPml1te/y/HD++61bnRt7U0jhyYwTpJibHqUZIess8WyM/1Y9XZe1PwN7MKjqVXHUxpuxcYsX51LJzWSVnMktOZ5SeSi85OVVpxSfSS06mFZ9IK/4orfhDN6WXfMjo9krgo/QSULbpJR9mFJ3ILDpTWHqxrOR8WebBmuTX34yvPRKddyQme39Mzt6Y7N0xOXti8/bE5O+Jyd87WWjjykn3xuS/503t25C3f0PuvujsfdHZ+6OzG4GyGqMzkQ7Ksg5F5b4XXfJWTPXWBHxLysuFG98qzD+cX3oqq/h0VsnpnLLT2aVns0vP55RegOn5HJB31YWc0ouLrQu55RfzKj7OA+nFvIoLeRXn8yrO5VWchem5GdLc8jM5ZafpNLf8zBJRTvmZ3LIzeWVncsvOZZZ/nFDZuaFKn1RuyCvpqyg+lZ1Yv+dNMDcSTo8cgzjpDNc6P1jAHIUpgbmUAI2RN8AdSWHkv0FrJIWR4w9/5+P/+5uKmNdeJL7wVXwavaU/erNWskUfsUUXWaeTyA2RdcabyRBZp4+UA0nkOkyuldZpo+q0srr+qLo+WV3PoihK3iOdizB5j2T5qFsi74lQ9EXIwQ+RXN1ZmPs+mbDtUExOS1Rws8zv/IbVF6N9m2XsFozXigmgeK0gz2vF+NQWtH1S2oYJ2iWCdgm/XcKbXny4D9rTG6mwXSJeSRK6lOdEybdh3FaM0yJltUiD2jFWKyb4MCpmR2wxnkgUp7+dmHMoqvxClKIvQqENV2gj5f0SeT9GSSrvl4Lq6ZSsrj8aSlbbu0HeHw2qbV+0ok+m6I1S9MooRSl6pUqnMGWvZEI9EmW3qzBlt3RBhCm67hz1YIoeTNGLKfqk8v4oeb+srn9DXX9MXX9MbX8MfE6G1A0F1/05pbpva0mjvqDG9tR/j//kdkLsjNC856XMfGHk31GInU+NjvLsQzGyHYnF52W13RHy3nBlr0TREyXvkso7MYVGIu9wUbtEDhRZ1xZR2xpRi9KWiNpJiqxtZXTbJdAWUdsSWdsiqWmP2tKdUqvLqe4tzvlAkfT7fbHFl6RYGxbcGhXcIlt3Ubb+vCzivExyXia5AITROi/D0PYVkl6QSS5GAX0836IOG3kpKuKidP1FafjH0vBLQOsvSdddkq5rxtZ1SEI1knUXpLImWfobcVU1KdvSU3eklJ+Jk3dH1PZIFL1SRY9UDp5EUrlWKu/DPAg1GFq62VjYjA6DvckolS5KpYfSReHaKLx/lpIq+2BzRad9cMtip6o+TNUnVfVC9UtU+vUqaxh+OUp+JbXGWrb50sY4fM8bTVQ/f4TBSKoomP+LUwKTMHJsGFkj/+4aqfUBn7Gf3HfhV4+VxG9/tv7L58jPwuS6MLk2WGEQKcxilS1YaQ9WDkINBSun06BYOSBWDYhVdrHKJlZZxUoolVWksghVJiEO1htYYAlwI1zYYBYpYeRBcQnjchKLNLMJi1hl3lDTm5d3TJ2w7YPotH4sSCt9RhP9RLfs6T7pKq1kjS7SVxe5RidZpZW80C9Z1S9Z3S95UTuNdJLV+sjV+shVM2q1PvJFb2qNPtJ3JWmNS2FOFL5O8oJO8qxW8jud5Blj5LP6SN/z0sg9sQXqZKIw811p/vuCTS1cwuhPmP0JM4swsQgjEG5k40YObuTCFGRURp6LwAofKhNPZeTjJlQveFS94BAmDli9z8wB4eJNLJKWkUUaXMUmDWzSwCFBSHlGVAkYOYQRlqGJS4CyFeJGscq4TqkPU+pCVb0CvG8tceVF4s+S2r668sbuoi3mp39xqxj57e1bGmdDnvOMkX8wOspzjmzYsDum9NK6Oh1HaQwkzEGEiYMb2LieReigtCwCqZ9F9LqoD+b7WASj+S+BIKKHRfSwcC1XZQxX2hK3GHJzT6iSXj0ck9kt5Rokqw3YCzrsxT4soFsa1CVld0vZPRi7B+P0YFykbimnS8peOUIl0Iux++ZbvaBg2b0Yqw8L6pUE9EoCkfokAf0Sv/5IP22knzlilTXi+R4J61QUtjO2oC65ISVtd1TlpRCVwV9pDMTNLKWepTSwlEYofZBSH6g0QLlm9IFg+6LIGKg0BioNLNzIIsws3AJS0IzNWjho7ZaagghjIJABpsZAwuRPmANIC1dlCZfrMjaf25hI7KYwctwxPA5C7TB/TAksWgmgUE9fORzfOhyO0RuOlpNDTzz0zfddrJEP+Iz89L7zv368KGH7M1uvP1N/LVipC1bqBCoTX2UR4naRyi4CfDgoUg1NlZjaKFQNCVWDAnxAgNv5+AAPH+DiAxwCLPfFImws0hoEliVcIAXB0wWS1kDSGgBTlJ8uDVBb/Zej1tTb1tTbOYQVq+vPzf+gIf7lU7J0cyTLJHm2J+rpfulzemytIdLPGOFvjPQ1RK7WAyx5QQtJUitZrfMkvWSVPvIFw020yhC52pt60RC5ZiXpRYjuNMA7y18vec4gecYoecoc+aQt4mlzxJqPpRF74wrIZKIwa5ek8AP2Fk1AvXWV2rZabfWtt65Vm9eqLb6kxY+0+JOWACiQAYH6J4SqaiBhCSKtgWqnqDpi81fbkfzUdl9a9TbfenAKN/ktx2o1L8+KALUlUG2GAz1mAW4U43oe0eev7n+6/uqT9V8EK7TVlY2aos3m3/3C8e+3Zo38djYQePv7zBtGjo8PgwU/jI6K7KaYDbuiSy4Fy00BuH2N+vIa9aAvafclbWtJ61rSvJY0UjKsVeumSL9WzWheS4DUr1Xr1qi1UEZf0iokhqLrTJn5J5VJrxyJSe2T+lskT1slT5klvzNgq7XY2j6pb7/UV4v5ajE/LeavxQK0mH8/5tcn9V0JAt8dfn0d5qvDfPXzLXRYHbZWj63RSV7USVZroXSS1YbIVUgDEU8ORTyik7xwNipkT2y2IlmdnLYXq2oTEZY1uBWs8Imb/XGzH27xA6nJF8gIUzpvhFsWKSVMvoTZFzf6q8FS1wFqG1D9HS//ehslu1+9za/e8mKDYfVW7doGLZ/sTpafSU7EdzoxcnyMwchFoyfmxM4SmISRI986mk9c/u3D3/7AHSPPPTKBkWKEkUqzQGkW4hYRbhbhZrHKLFJZRMC6OEli9BK3CYGsAtzCx61w2Xobh7BBhrSzEEkSNsCTC6IgwhZE2gJnrQCwZvIy1Jp6+4v1dhZplcj7c/M+fCn25bNRWZYIgTnSr0fq1ysN6sd42ki+LkKgjeT0Rwb2Sfx7Jb7dmH8XFtiNBfaAUc6AHnf594Dd/GaUPxwhBR/3mpzDr/Q47DLO9EkCXOTfRxV+n2Rtv2S1QfKcJfJ3tojnTBF+F6XYnrhCMlldlL1HWvgRd0tXIGlbo7avJW3+pNWfAAqACiSsQZRYuJXtIg5h46CXhI1N2likMw0ibUGkPYgcgAKriwdM0kAA6S6wdDwjUAJ2WHrguYQEx9QsbNLCISwC3CjC9Ryyf02D9rGtnzy69UuhSrep6kBH0RbzM//tuMV1I5cuRg6Pj4+NU39j46NjjpFRx98RRv7J6NiUfTg2ekdM8aVQuSUIH1qr/sRXfQUsYU8MBBL2QMIaSEuVragAACAASURBVJooGQNJA6OFKYEA0uBPGvzUFn/SLiAGpXJjesEJReLLTTEbe6T+JsnTJsnTBslzWmxNL+bXg4E2Bgjz78ECerBAmPqD7StAvZhf30KpV7K2V7KmF1vTK1nTJ1nTD1oF337JWkvkU/bIR/uxF85EBe+Oy1Ikqzem7Y2qbAtVmQNU5iDcwlGZ2CoTC6dlZOHQ9Ae2oLwBblnEFFwGmzRySDOHtCwvWTmgZbUGqU1rt/avfqlz9TYNq74tUXEiMUG5403k1Do+SmMkHWKHXj2S3sLwDlMC3iwBhJF/hcvPOG783dHX/Nlz/3njfneMPP/I48UJ25/dev3Z+mshSl2oQi9WWkRKkxgMkxvEuJ6SAW4xekxF0G1VgJv4hIUPeNLCIyxcwsbFbTzcupDi4lYOAcSdnTiElb0c5a+2+amtXMKC1fXl537wSuyrZ6NyjeHB+ghul1TYKRV3Yeu6Itd1R4Z1R4Z0S4SdGL8D47ZL+e1SYTsm6MD4GrDFKTrfjvHbMV4Hxp1ePPpTTOb2S0CD8TsllDBeJ8bVQHVinG4sSCvxNUauNke8qI8IOh8VtTu2CE8iizP3bCg6KdrcxcWtgYQ9iLCB6oBPiIdb+ZQEKquQEhonol8KwNjQhMAgEajONh5u5wGnAzsl1zy90c7H7YKVLuSgYUcF7lKYFgFuRhKrjMEqPZfUrmnQPb7tk0e3fiFU6jdXNWkK5Janf+346X23FGJnCWMkvRYaHUNiDPjLAN+tP5sdm3ObEmJ2xpU0hynMbHzIj/zEn7zCIga5wNHFysMtXMLsIuAfzGhhSgD4spM2NjEgxp0YKU986VDMxk6pv17yO73k2X7J6m7MvxNjdWJsjZTVKWXBPHhJZegtyzzThbG6QDksgII6sUCkLiwInpfdhbF0klVGyTPdmN+pqPCdcbny5PrU9L3RlS3rlMYgpZGDWwQqE/A6w2nR839Ms50ONPuJQ7eyp4GPI4H5FXzcvDyEHvpC3CIEvWQzhzT61feubuhY3dAeRLYmyD9KiJPveOMw5ILxUcfoOIjYSj0yXRmSWQLEm+zEHJsuATQ38m8OB/AX+vvXjmu2v/j/+sYDs8FIs0hpEoFhcgOUXoTrqTza4jE1CnGTADcLoQSg4lsEsL6gWrMwKTSKAo4VzE4IepdfyiYsLNIsIsxRNT352cdfjXvtTFSefn1w/3quRirukAZ3SNd1SIA0YDZ+cDsmapMK26SiNiy4DRO3S0WAJ0E6oTapqBVI2CYVTC94EKkIHMpbEsJLXRFpOybqmJCwAxO0Q3Vg/E6M2ycJ1Ef6GiN8tZHss1FRO2MKFXHKwvRd8SVnQrf0CHErm7BzCDufsNI1AlVDEfA1ABKrgIKhQlSWEJhBG+l9UMal/lqFuFV0U6msYKb0ihfy1BBSRS1WUV4euEmMm0KcGKlb22B4ctunj239XKw01lR+oMkjbU8/6fjpPy5njIT9o7FxsM426C0hjEyM3R1X2hymMHHwAX/ySiA5xAWjEVYR8Ipxti6ojWHSBS4BPm7j4/YQfEBWZ8zIPwExMlUjDdABO+TzvdiaTozVAUYZBe1SfoeUt3IFCgHKG4XgfnBuhxQKDPoK2jHQSPRKArSStR0Y96Mo6btxhbUpDRsBRjavUxkQRiJPswW+f+ZyOpMQR1qGVV4MffyEuIlLGAPV/Wvre3zV3VyiI7nuZEJs3c7XEUY6xkCIVgojpzIkY5CkWYfJeK0E0BKm/4uC4P3vXx1fXv2a9djwDydh5OhP7zsPnVp/t/X67+DcyBClDjAkwMhbEKjyrg8olF/gdC4Pq2X4jEJfH1qDzaG4KXpLd372sVfiXjsdlatfL+pfz9JE8duBhG2YEFEKxZBC2AaJOjBhuxT0BGAqcE3bnNv58N3p0kkfcf34POWnO+8y3N6BCTQTmjARazB+F8btlQRpJf4GEFWBfTZKujMmXx6rgBh5el1Nj5C0skk7G2CkjUdYeISZTziNYGi4h66YYtwcrHIKOLFTI0G00cwtQ1dz+ghMZroSEELD49QSEwOMNAargNMHh9SvbTA+ue2TJ7Z9Hqw011Sc7MrbNvD07xw/+efZY+SN0fEboyM3Rr79ZnjJWSNHhkdHRkZHxsZGqKF11O6BftIkjMxrghh5KUxh4OD2AHIoiBzi43YhbhWr4PwKqoGZrriZ7d4oATEsdgFuE+D2UHxgQ50xE2Dky4c2pGmkQVrJC33Yqh7MVyNld0j57aD9oJsQ+qHs7VaBOb6gHY4Et0uFPVhQn8SvTSr4QBb9dlzxlpStKRMYaeJQE5a8caswx7xpCSCMFAHnPSNLrfOv7/cn+/iqro21p5Ni5bu305FaKZujR4ZkMNJr7MQcmC4BhJF/R/5CX3/l+OLK31iPjfxoEkaCEDsURj5Tfw3NjaQw0gmEN60UzA5LsASAdzFhXoebYrZ0F+QchxiZo18v0EYEaqI47TJOu4zbJuW1SwUQGp2WvXZMqIGjmR1gNJnR4pcAcGr1JLid1yNhQYOkP42RlDXydGhNt4C0ADc00smQToykSNIVbMSQIRFAopsZwA8xrVw/uwRv/iV1SdNhJBynA8FaRbiJQxrWNhh/u+2TJ7d9Hqqy1Fac7sp7aeDpZx0/+ZdZYuTw6Njw6PjwksdID4EHx4G/DGWNzDvsgpG2APVgEDnII6A1kgHIxS4BPvRoRxiZnX9CmfDK4Q3pGozVj63qxVZ3OzGSB0hyBTceM46w0lDtvQwYAO7BAvqwta1SwXHZhrfiSzanbKMw0hikNHOAJwnTvVvkEgDOe4SRReoD6vsDyH6+siu19kxKjGLP753rRiJnDdCh94iRdE+fyTAl4LUSGIPurAAjxx2Or79yfHn175wnxh72jJHPbL3+dP01kQpEakUYicYfmafNHVoC0PpkDcXNG2oARr4MrJE5+vV8V4xslwL/ow7AjWD4uA2MIIM82LiCuwFL6rvPgJEajN+NcfokLH1kQD9ljVTEKovSdgOnVoCRZjYwSFp5hBkJWCMJpwUe3dhgYBSaImmGpI35HjASsSW0Vd6h9WJRLntm6hbiZjZpXFtPY6S5rhJZIyFGPujjeNDH8UMfx/d9HPf7tP7yQcvBA6Mjo9dHR74aG/lm+Jtvoe3xTsFI6KM1uc2bjJGHaIxk49YANQjTxCNsAsZ+sgT6/dCrYSAUH4ypM2bnn1QmvHp4Q0Ynxu7HXuzBXuzG/DqlLOhgufjDb0vqIb6QF4MAvgfz78PWtEgFR2Uxb8aXVqe8lJzxnqyqeZ3KGKS0MBi5KM2A20kRRrJJfaBaG0joBMqe9JpzqRtUe3//PvWAnNGpldqJ+c+UgPdKAGHkNwgj/+rEyPGfUBh5v4/jAR/k1FqYuP3pbdefqr8mVOnESp1QaRICp9ZFHqxhLuB2SoAHIgzZQnBLdE13fs7xl+JfOyXL1oXz+iMCnNbIKB5ocSBDumOklMHIpdIRuhlGcnslHB0ItMs+I5PuiM1XxCqL0/YklJwOrekSkCY2MEiaeYSJT0kAp5y4uayLXTzY0Qxn4MXqZo2kosK4OcTezl3KfFYES5VNGn3rjU9t+/TJrZ+HKs11FSe68rYNPfMcsEauVIzUs3FLgBpEueURIA44c68segkAjMQHQ/GhDXVmCiMzOzFuP7amB1vDYORC4uJ05wL+RcAaiTBSeFQW90Z8efXGl5My3ouqag5lMHLJ9GuRww+HNLJIXRChEyp7M2oupG/A32Mw0ntUxBx5jiVAY+TYmMPx1V8cX1z5O+cJJ0b+EAxsO+73Gf0JcGotSNz+223Xf9twTaDSiVRg3UiByjTzCPqit2jMBcxcAlwYrjaYMMtquvNyAUaelGVrw7n9Ef6aKHa7jNseBeaSMBg5XXO8RLbPjJFdGK9HwtVGBvVJ2Kdl0ndj8+XAGgkxsrZTQBrZwCBp4hEGPmEQwCXvhSB01kxyYqQbQ7rYMJknw8xVb/bvIsOvgAC/kV+9+emtnz619fN1SrO84kR37rbLyw4jR8dGZ2WNjC/9OEyh5eDmADVYI4XByNnfUl7dk0/YefhQCH45us6clX8KWiMRRq7twdbCMK1sxhq5uC0HwshuzL8XW9McJTwqS3gjvrI65dWkjH0MRnq1dsz14AgjuQSY0sAiDEJlX2bN+YwNqn2MU+scUYfZ3XslgDDyW4djfHqMHKMx8qXrTzZc4zMYuWTGqub6UHLbn0uAlZaCCZOspisv99hkjGQxGLm4bf3szz4DRsJgrbxuCbdfMgNGmtikkUfoaYycmSHhyj0mdzsk5Qrrdo8xL2+nBOg5ky4Y+Yentn4epjQrK0725G67gjDyh9CjdVk4tY6OgQkW7n9TnVrjSy+uV/RxcWOg2soCPtmMNXJJuAYha2QIPgQx8rQy4bXDGyBGStb2YL7dYOUJDohQysyIWLwSoDGyx4mR8RAjX0vK2M9g5O08r+f9swgjeQAjjWwnRp5L36BkMNK9hWBeL14J0BgJwhdAa+T/TrFGumMkrhOqdEKVCWi5ANW8V/874oAQI83BhFFW0+mCkbz+CD9NVBAIscNYIxevrZ99R2s6jESTWlG81ukx0sAmgXikbpYYKQQLwDIYuRCddoSRyHmY47RGAoxcDzDyRF/utqtPQ6fWZYSRY2MeIuw4JjDS4ticB+ZGxpdeDFf08XBDkNrCYOTSaW/Q3EgXjNx+eEMWcGqdwEguWGL4TniwLteLdMHItc1RoqOy+DfjKxhr5NKpRPSV0BjJnQkj4bgbE2Jn8ThqhZ8ZRGqFsdTB0s7TYOQ4ZY188qXrT2y9xnfBSPpuZzJ3YgmgBT9CpmBkX6Rfh4zByDumq3MzjBR0gV4csEaekWHvxubJYxUuTq16Ngk0S4wU4kYBbhQQDEYuFEaiqLmEmcFIGKkVYORBF4zUB6nNDEYuneaHT1h5hD0EH4TWyDPKhNcPb8jpxPj9Et8ezLcLC9RgXMYaubiASmFkQA/mS2FkeXXKK8zcyKVTj9CV0BhJWSN7M2vOp2/A9zFzI1c4ui2lrz8Og+sMO+CKHzNiZH7i9ideuv64C0aKlCY6cuNSq33M9cymBPhwnUBXjDwF50b2Rfq1y1htjDXyDhkxnwVG8vvBsh/sMzLJu7G5ExhZ0ykg9Wz1HDGSYDByIRjSuTLnzBi57JxaZ2ONRBh5IVzRy8MZjFyge3E2LYoIN0/GyNPKhO2HN2R3Yvw+iS+Ir4MFdmDcDinj1LqYg5QURgZCjBRDa2R59UYGI5dWVaIbAMqpVS9U9kCMJFwwcgwt18cs+LGUwGplXcskjPzLXxyfX/k7+wnHj2GkVirEDrJG5iduf/yl649tvcajrJEipSmYWe35TnbrnWqNPCXL0oVzEEa2yjhtUYI2JsTOkofJWWAkj7JGTsLIdTWdQmiKBNbI2c2NBNZIBiMXqtajwWiUerZGLhuMvDEyPDw6MjI6J4zs4eE6xho5S8BbmN2mYOTvoVMrv1fi14X5a6RBHVIuWEVqyT9Vl/EVUhiJrJEMRi45eqSr6mRrpE6o7M6sOQcjtaJ1I0EHnsHIlQVtS+/bTsXIbxBGPgRjNvzAx/EDHwd0as1L2v7Yy9d/s/UaF9cJ4NxIkQpgJCBJuKwcfeczmTulBHiEhUO4zY3M0oaz+yJ922WsVhm3VcZg5GKOGs+yJ3MzjORPdmp1WiMTS06HAYxEcyONPMLIB3xonDlM63SzIlHEHWay9PzW/RWEkd/OGSPPhyu6ubiWwcj5vedu82jTYiTm3ykNYDByls90r+7mCSMroDWSidS6tJCSwkgjjNSqEyi7MwBGqt77fROkCQYjlx5UrbwrQhg5gpxaoTXy2+kx8jcvX3902zU2QWGk0hSMmxm/1ttsdhfx4wAjSYCRUbV0iJ3M/ghWb+RaJ0Yy1sg7YdD81jAyoeQ0tEYa2WDpSBOfwciFsjHOvsozGOlsk8cdoJFyOBx/npgbeT5c0cVg5OxvpoXZc3qM9NNIndZIxqnVq5R404MzGLkwdeH2z+KCkXoWoeMru9NrzsJIrYfh43B8nLFGooaBSRevBKZi5IQ18kFoiqSskblJ22mMhFF2TMCplbFDLr2u5+yfXTwQt8MsJozS2s5c54IfmX0RQQgj25h1I+8EhuyQ8m8ZI0PB3EiwbiSHNENXVWiNJKZbMdJET9bwuNqHAK4bOfvbj9nzpiXAYKSzbYS9JZCHGIkitQKM5OHaIBKE2OHjViFuuWmBMjt4uwQ8YSSYG9mLMRi5VDxbGIz0di2Yr+O7YmQQoeOputNqzmTEKPb9/hB8MjIY6UV4GhvzsIKxF893xx7aHSO/uMJg5Hw9AZb+cSBGmsSEYQIjoxmMXCpt/U3HlOkdbg8jTRAjTQxGLsEKy2Cks2mdjJEoxI4TI1mkmQMWjWQwckn447liZHbeGVX89qZoBiOXVqPCYOQSfNZ7vKRJGEnquAAjT6fHyN9jMHK+oWt8fHxkZGR4eHgE/o2Ojg4PD4+Pe1jEeL7PfMcfbwpGXv075wnHT2CInemtkQIQZYexRi6JVtvjw2eWG1EAMAYjaR67QzO3ipFnQmu6BaTZHSPxqdZIYIdEQu0aY42kC8SrGQYjaYx0DgxDa+QBuOAHmBvJx3Xg9mUwkqqfXr0dZ3NwN4zE499ois5F1sjOpe3U2i7lu2peGgPXA7bPwrnFbX/65bxcDH0QBiNncycvhX08YGTtmfQY+d7tjDVynulrfHzcZDJdunSptbW1ra1taGhoZGSEwcjZlLI7RtKRWh/ycTAYuWSaZi890BBGBhOGKNqpNXpibiTj1Eo3u0s8Mx1GajBBBybUYJ5D7CSUTGAkF6wqAYLroFTkTpIMRi7OmBGDkTNg5IVwBYjUCkdBGGvk4tygU1umyRh5Fo9/syk6rxMT9oIQOws2N9I1EqxrfiarYDvGd9W8PPRdD9iOzXR2dDq3/emX83Ix9EEYjJx63y7NLW4Yycd70mrPpDEYORu4mcs+o6Ojn3322ZYtW3g8nkAgEAqFDQ0Nn3322RdffHH9+vWvvvpqZMQ5OX8uR10p+7pj5J8vz8aplbFGLs1nzlyvisFIumG9ozMaDEyPnKqOWWGkhU1auYQFBVm9aahV1K4x1si51rVb25/BSGdLPO6Yao10rhvJYOSt3Vte+pQrRmblnsHj3zwSnb8gGMmDkXtQyu2QcjukHJiiZSpd33XJY7wOjE+LfobSW6bNzGBadDlgh8tzeeJQHj9LfYq+BtcM+KzHT93SxjsfIy0iMBHaCtPlPCPaI0amMhg534D26aefKhSKRx55xIf6++1vf1tYWLhp06by8vI33njjb3/72+joKDotyoyPj4+OjtLmynH4N9/XdWccb9wBmmdnpNavvnIM6f/q/whYN9LVGvnj+87/+vE8lxA7DEZ6qQle4MPCuZFGxho5jw304hyK6oFMdFScW6a1Rhan70koOROypUtAIoy0zvLeYzBylgU1L7sxGOlsR6fBSMYauVSMkPTtjjByHXl5g9ySlXuGSHjraEzhgmAkQkeUsjuk7A4pC6ZsCiZdd3BCpgbj0bTWiQm6JEKkTolQAxw5ppNghgc9fUDkJdIl4SN1QqScFgjhu52Yc2f6UyijWdEYiYjRCrkRpTYRbhPhdpjOtumib9E7KOOKkSy1XkD0ptedTY9VvPc6E6l1PhGro6Pjscceu/vuu318fO666y4fH5/vfOc7//Iv//Ld7373vvvu++Uvf3n06NFTp06dO3eus7Pzj3/8o8PhoDFybGxsdHR0ZGRkxYbkGXc4xmmM/NvXjp7mz1f9YipGXpyMkUyk1jvoQTTDpdIYyYTYmaFXcOe+BQadp3FqLc18L6HkTPDmTgYjZ6ggi/4Wg5EzYCSYG8k4tS76Pep2Ae4Ymfi2C0Y6142c7wU/XC2QNEayIEYiknQDSPQS2Co1GK8T4yN1YYJuiRCpSyLslAg7Mc8CswWmNwO6zjHowvjdEqe64ImmA0Inc7rsT3+wWwKucIYzzvWtO80a6REjB0Q40orDyLQYOYOR8wmRDkdLS8vPfvYzZIm8C/7RPHn33Xffddddzz///IsvvrhmzRqhULhr166hoaHLly9fvXoVxeMZGRlBJImuijZRzu9FLtmjuWOk5vyfnv+ZEyN/SC348eP7Lv768fxEZsGPJTfy69aCz/UlwkgxqZfWanJzj74U/9oJl0itrTJuG7Nu5PS9hbm23Qu//+ww0sYmbVxitm0xABvczDi1zrWu3dr+DEY6m87J1shJkVoZp9Zbu7e89Cl3jFwIayRvir2RQzEky8W1dRJMtgOvV27HNNZIp00SYqRmCkzOCSNpu+LM1khkw+yaxhrJYKSLKdJKmSIHoEFytk2Xl254rx4WNQBc3MAh9bQ1ksHIeQeqqRh511133XPPPT4+Pvfccw+yUlLurj7+/v558K+wsLC9vf3rr7++cePG8PDwX/7yF3RhHjGS3khn5v1bLNYBp2DkhT+9QGEkHWKHwsjHXr7+6LZrbELHWCO9+uhYsIO7YGSHEyNlEwt+tMq4rTJBG7RodWDCDkzYLhW2SUEKX840ILvwyMSc0VMJzGyNPBu8uUtA2tiknUvYJjfTrg5Ek/JCHEQzEeAWjyR506mVC3ZvL48TrWSMRG2Ts2WEC36A2OtT141kMHJJ3euTMfI0kfjm0dgCyqnVTyMNhMg327A3nh5qU+1yHjGSdmqlZ0i6YyQkSc9Ord3Iu3VeMBKEOAOaGSPRLErg1OpJ09kwZ1c+7iW2LKyRdmiNtMN2a7kN8NM1egpG9mXIzzNOrfPOSx4xEnm3otTHx+fee++966677r777n/+53/+3ve+92//9m/f+9734uLidu3adeTIkaamprNnz6ILcwVFOj81M+/fYrEO6I6RHS7WyAd9HN+HojDy8Zev/2YrwEiBilnwYzk8uCinVn1UbUcetEaelNGRWoNaZRx3jMREbZiwHSIlCN9yJ1vqVsbF3xQju4XqAYiRqDmeRIwewZLBSLqJX4DMysRItFTXGJxw4WwZx8EEfhBlx0sYKcTNSN77Ub08xGIS4Uhza5noLz5fX5/CyCtwbuQpIvGNo7EoxI5fp9TXmxjJgYZHlLrOjfSIkZx2KQdg5DTWyNvESHp6pBML4fTITglfAyL6ABdctJIHaIRob1V6biTCSGpG5cqcG0nflrA+enJqVdlFqkWxRk5ELffes4I+8mSMNAiIfgYjvQFLbhj5ne98h6ZHBJD33nvvP/3TP90N/2iz5F133fXggw/+5je/efrpp5988smQkJCenh6TyXTlypVvv/0WzZ9cCSFe3TGy88LnL/zc8TAVYscTRnLwCYwU42bxcl8Vg67Ryy/DIywc0hxMGGU1mvycoy/HvXZKlqUNZ/dF+rbLgtpknLYoQTsmAIEGJCKNRNyBidsxcQcmgqEHGIx0H+Rdemg6G4y0zx4jhWCNd8YaObeO+u08Nzxi5G+3fr5eaVZWnOjL3Xb1meccP/kXxw99nPq+j+N+n9ZfPmg5eGB0ZPT66MhXYyPfDH/z7fC3N0aGh0fHhkfHh0dHbox8+w3ccmNk2NvymeUJvgXXB6aYjI0igHTDyGGEkX+yOKrzDlHrRnbxcK2LNfJW3NtQhxWY13FntOLb+cHcP6ty3ivghwTHt4pUNhhect7uIYpOnYu9Uv1vixCcDgW0dDkXdT3gOmFegJv5uJlHmPm4SQBBVOy6z9xb9ykY+frR2LxOTNCL+bpg5Pw8OikY43VgXCqaDgJId4xsl3KdXqwogivG1mAcDTZ5bqRkIsTO7WMkCncGV1sCcyN7I/k9El63hKvBwJW0QZJEFkhEkvTcSOTXCidGCnoigZbF3Eh0K9JRVemX1C06+a4DEyfgyA5VodBucJhTZROpbOJ5xUixyixWmcSqmyKiCa6FddPdXGrc3GsQ9ZXBQaZgpDZDfmGKNRJGsUZ9ebfUG8i1HI85FSMRK95333333HPPvffe+4//+I9TfVzdnF3vu+++4OBgDMOUSuXly5fHx8eHh4e//vrrUfi3jAPwTMLIr792aC58gTDyRz6OB9ytkY+9fP2xrdd4uE6o0glUJqHKxGCka5W/4/III0MIU3RNV0HO8VfiXjsty9KFc/oi/TqiWO1R3I4ogQYTdAIHH3GnRKwBDAnSThC4hcHI+ekLeRM+5xMjKYBkMHLeOgk3fWJMxcintv3hya2fh7lh5IPLByNHxsZGoR1yEkY6HE6M/ONNMNKjPZ3uvE78chR9mQUqiwC3CXAbH7cKZz1F+Ka/nAiOsAbDNhJ2B9FZkAnlVnB3ujOiLyLEjUKVQQhQ0MIHSAy+Dh8O+QB2RUsjqEzBKrMYsCIY/Q1GGEkAhuQSFkCSBCgf0KUGfd9b7CtPwcjtR2NzOzE+hZEB0GZ4u06tCCDbMR5YjBHjaiScTkCGrA4syGVWJIqv47RGtgNu5HRKwZ6dGKsLY3dLON0SbpeER2kCI29zbiSwRkJfHQ08eG8kvz+S1xfJ7ZVwujBOB8Zpx4AhtEMCAvwgh1UEnBRD8noieb2R/L5IQV+koDfSGWKHwubbbXgWw6mVXp/DTK3VAaKtoptTjFvgnTlRPV0w0mljh2MiMDqrakAMZBfPnzUSYSS8BqsQXJXzwkTuQ0tgbeUpVYNaLOvmFDrxBaerzm7bb4aRjnEQI5PByDmjLe1iij7phpEovs53v/tdLpe7atUqHx8fmhjvgX+0QdJj5le/+lVlZeWePXtee+21d9999+uvv0YxeNC50NIgbhcw5y+wlD7gGSN/7ONwxciH7/v4148XJG5HGAknRkKMVJpg7QPtjtvNz7y8I0qAxsgNNd0FOR+8Erf9lCxbG87pj/TTRLE7orgagJGAIbsl4q5JGCnWYEJv8s/tNpTMtcESmDeMdLFDMhi5cI87Ox2qIAAAIABJREFUzxi5zRNGIpK8862Rs8FIOsRO92RrJFoGYGrqjm2gWCkvVoBb5ACfGODjNhFhE6k8MOetPs1NgNlA59IiIGx8ws7F7TzCLgATkefxLOB2FOAWHmHlgVnOYKIzlxjgEHYOOiNuFxB2IW4TIYZUoX4wsr2YQFGozODyAHnahWARBVBcnrrLs7rv+YSNhw+sI2mnVleMXKuR+kOzIff2HtCUUyhgMF6nhNMlYXdL2F0StkbC6sDoGK3Ugh8YhEwJq0sS1C1hdQOGBGmPhN0j4fRIuN2RQNB91Lngx80jtdLOqFOmdgC7InBJ5XVFcroiOT2R3D7AkE6M7AFXy+mScIFlUgJgsl3Ka4e+tSBgLLBY8nokvN4Ibl8Euz+So43k9EdyuyUAvNug2pEr7PQXcNOy9TJG0v7V7iMRwFSuMqH7TQAqgh2MdICxGws1eOG8xyijOhrOAHcpaIGIASExKCCGhMQQ8Gh1YuStVyUh6Lk67fYQHe0CfICHD/JA6qw1E6Mw4BqcFntYqdFnrQLCBhwNCCs9MnWrjwsP9WsKRro5tSKMhLMA3OyQ6OVSgo0ldS1uFNfc3Pzzn//clQnvvvvu//qv/9oL/5544oknn3zyscce+9d//VcUdMd1T7f83Xfffe+99/7gBz/42c9+9sADD/zP//zPkSNHenp6urq69Hr9l19+uYIw8iEXa+TD912CGPn4S9cf33qNj+tEKp1QaRIpweAmEuPaOo+PjgU7FMLIUMI0CSMjEEZyOqJ4ECNFnZAhXayRwZ3AJslg5NJn3fnByMl2SAYjPTT3XqqzrhjJJk1+9WZ3a+TT0Kn1QR8HwsgfAKfWFujUOjYy+v/uQKdWtPoWGmJHkyRR98PVGokw8sJ6BVg3kkWaOQS4KakO31SDpAXNGxRSFjbkySkAnUIzn7Tx1YMC0i4kLMAqgnq0wMmNtsvd4u8tUIHjCwAxAvsGn7BxCBOb1PMIExVqkr7UOZ+CHsEFBk+VmYcPBJFX2eRVDjHIwW1c0sYhrWw1CJ/FIQd45KAA9L9tfNwkhBLgJj50YQ1RmcOU5gh8IAy/EoxfFeBDXHxAQFpEwLxpvIXbGmLk4DryKjU3ksbItZ3SNRqpH7QW3hJGYgIwIx/gE68dE7SDuRbcrkh2VySnM4LTGckDkw8jeWD+odQZqVWDsTQYC9geJYFdkX4dYWs7wnw1ElabhNWKBbVhQRpJUA+wSXI0ECOhL6uI9r2Zft1IGGVO6tkhB9gVIwW9EVxdBLs/nN0TzumUcNsk3FaQ8joieV0RvN5wbl84VxPJbcG4rVHcNuDmym2Xgq/QE8nrk/D6JNxOib8G8+2K8O0O8+uK4LRjwlYpEAhzB+IToLOjxU7m1hR5EyNNItwA5Wa1M4hwnRA3gBpHWPlqG19t5RBGLmHiARkF0EIuRgZz2K0MgTc2rLnQGxy3i4ghATHEI4c4BBAPtwtVFoiCc64+6MYWqCx8lZVH2DnkIJu8zCWvconLHGKISwxyCDTigwZWbGICDK8IcTscarEGA6M9GIgR4hY+HCESkAAmb6G+zPwRCiP1HFLHUrvOjWxCj0VojZx/jKRRZyVkHA5Hc3MzveAHjYW//OUvz549+/nnnx8+fLipqamxsTE9Pf0Xv/jF97///fvvv/973/sevadr5t577/2Hf/gHess999zz3HPPBQcHi0QiDMP27t37pz/96csvv/ziiy+Gh4dptHbDWnr7HZGZ1hr5EOyXoLmRD9936VePFyZuf8IFI0VKk1hpClGZQ2CVZzBy5qfB0nzXszXSiZHsjii+JkqkATMhJzxaKadWBiPn1nDfdIDYOzswGHmLHYwlUmE9YOTWP/zW1akVYeQPXTDygQmM/MvIyF9d5kbeGBm9E+ZGjnmYGznZqZXGyF4ernfByOm6cWhGk1GAGyE+gfVq+ISJS5i5pJVHWsQN1hC1WazoD1Zq15HmYNiXvYXxUdqEgjI83MoBhkG7kBgIVdtD1UYeoWGr27hkv0A1EExeERN2IZgqiaIkU5PEJk2mcjXsINsO2CLGTcEq2PoqreuUplCliYdf9cX/zCH/CLrFCm1wvU5crxU06HgNRm6DVdBwWaC+wiUH2KSNR1gFKiuXsLKg/SRCYYpVWDeqhhLwq1HEH4SqK/7KQR5hCyaMQqXhFqrB9NbINZ3SFzVS31vESACQwg5MhKKEw5kVIe1hrJ6IoM5IzsUwzqUIcSsW1ikN68SCOyT8DilHA6yOQV1YYE8Uq0ca0Bq26qzgd+fEL16UcM9gvJNR7FOyoAvSwE7AnLyPI3ldMnG/VNwVIeiShGokoR1YaAeYxYHikntMIdMCr1pK0E4Iri1S3L+eZ43kadezW9YFnZVwj0u570fxjmOCc5HBbWHBPaGi/nWCljD2WQm7JZbXGs1ukbLaonidEkFPpLBHwu+W8T+W+Z2WPX8h8rmPxc+2hbPaseAWLLhFKm6VitowUTsiauAcy53rOpzexEiDCNdC6QEBqizQvG8S4X0ioktAaPmkjdcwwH/Jzt9qYOGdbKKbTfYF4louaRER1mCFaZ3SEqq0rFeYwhXGUKVZpLKKVHYxPhhKDolVNhFpEzQMBKgHfNWXg3AbT264tcEOdGMLcStbYQ0iLgc0/GEt+UnQtmvchisclYmLGzlKg1BtC9k6xFNZxOSgiATUyieu8lRXhKrBUMIWqjSGKHRiMFRkBZZVcoCnNIsJSwhpRdO9bqHuTP0IbABMXFzHIbUQI+m5kfOAkQhdpgPFsRXz55i8buT/Z+88wKK41v8/9CKCoMYSYxITY6yxG42KAltmdrayHbCAWKNGY9RoEkVA2CmLqLmpJjEmmnpv7F1RKQtLL9tYqr13pc//OWeWFQFNcm9y/7n3d/c5z3p2mHJmnDNzPud93+/rJMAhQ4YcOXKEBbmmpqbm5uaampqUlJSlS5euWLFi0aJFvXv3dq7srLi6urJRlM4lCIK4u7uzZkwul5uUlKSHnzNnzty7d4+9/v/RSjy/FyNHpl4UECViXYlYZ5Y4MfJ/QjuPvfr/Y0auT8bIaTmRXGiNBAwJX9mOwMj/YeSfw3t/EpT+DyP/YzpjxyGEU2GBTdTJp80hesu41PNjWyV2CpZvrhn3OtPfD+jrOK2RrRjZ0th0u7HxTlODU2KnvrGpvrEZSt78lSV2OsPIlsdiI3+Knb0jZg1rjSzj0jaUYmOZLFAAwyE246yLSZOENAnJMgxaP/iQIQVEGUdn4ultsk0mYdzJqUt/fH3BzqnL92HxOdC+Z5MQIF6r0/8V9j+GZUXnCmDA11qAjYKwCFJqeClnQ5PLhaRVnGjgvvPT629+NG7J36a8u1+QZBWR1SLCLiSceQva8qTzuCwAl7UR9jCLSZOYLBMTJglhlerscNhtwokagf46Gm+auPDHCbHbgt/8csrizyct+Xz80u2jl343Zvm+qetysNTqEH11qM6OERVcumq6vkpAlmuTLAs3lkUvT5PN3YMu3DdtZfqUeDNPZ5cS5WLdk7Dc2bxOKq2xkdUdrJFTjZGTIUbyYM6P3/XIczCkwSHyJs7TyArUMqMCzVJzT88ON7y9qGTde5b166rWrCmcGWFQiowgGIOfrw3L1YQao7hpquBDyuCsheqiNUsK41YbE9dkJq/KSn67KPEt+/qlpjVvps+POq0W5CvRfBVuVElyNOEGbbhBK4UkKYLfQBigtbA024EtQXYsPFsrzVLJMsR8o4yXNzPcuGR2xvuLT+lWHk5aeWLjmoLEeOvauOp31tS+/XZubNQvsukno3jpURxDJM8YJciU84wacbpWnPfWzLyEBZm62LzEOSWrZ1aumlswU2nQiLO0IoCRwCaJG4BPL9DsgQbY33E9/xyMBHeLmCwVk4VisghWzGLCJiassAPmi6lsAVUM7OQpFp4+n6s7OXHlzmFvbpv0/v6QZGMYZRVQNilhCdeZgXk82aRJNoXrykVEjYioCadqNbRdsDadu/po8KpD49dlTE6tCKXKBckmqIvzu29UVtVDSNr4RHkYXR2cUhusr+DoTcHvHxk177MRMR+PXfDt9NWH8EQDujEfpy2CTVU8uppP1OLEOSFRI9KVKwizIrlAFp89bcXhMQv38hMKpJuAwV9MlUspGwizfPLTw/nQ+NUKcKOlTChZzKeLIEaWLE46BSV2/hiMZBmGBUaWlJqbm5uampyE+R9hDfsnGtnO+tepNXLYsGEnTpxgGKa5uZm1HLa0tFy5cqWysrKmpsZuty9cuDA4ODg0NHTq1Kl9+/ZlIypZenR3d/f09HTKvbIY6eLiEhgY+Oyzzz4PPxqNZteuXWlpaadOnTp9+nR9fb1Thqdd8/6JE/x3btI5RvZtHxuZPvi1VdAaOTL1Ig4x8jFr5P8w8r8QIzkwNvIxjGwjsfM/a+TveGv//yPP/2FkJwPdX313/3VWYK2RTowM1VvGQ4xUQomdguWbq9tiZG+E6Q6CEVin1paGpjuNjXcaAUbWN9ZDemyCJNlQ31jXuuSvpNQKxGQbO3dqbWHqGaaJYRgosfNT7Oyv56w5qUzOFxBlPNqGOdKeWlod6li3Oue3WQx8zyw82sKhzRzawifKBEmlvGQLSpWrks9MjUzoMVLZbYT2RfHGaauOiCiTI2SLeqJ2K0uMAihz6viGWjUY/BZQFlRnxlLOcfWXuMnlKn3p5NgP+02Qdx8yLWDQ1D5h7wSvOcNLLMOTbTD3XUXrNxuX2HZM/DhGQj1JCRD5AGApJMDmIKaLMIfrTNqkoimzPg4aKg4cMKXHwIlBL48LHDjO/5XXu7wyrcswed9wcnpiwTT6XIiuFiOqw/Rnp6bU8qlqVXL5osT8EEHysy+Ke73E7xuyetTiQ2HrzdLk81LyrBjw+e/rQm0w0rJ0+WEqlnVqxQq0U/4FjATmPoNWkAWKKFsrLVRJi8LxLI1o/0xxWvy7l08fv1dU+DAru+7vu0vnLzQqFIUqRb5amKvlGbTc05HY7ij82Nol53f/cD/XeKek6Jap+Kal6IbFeM9kqDOevL3vZ3MqaVgwo0CNFqnQXCVuVIsNWqlBK2nlRidAspUnYCRIhyXK1EhPqeQnItUHZ2lzNrx7cc+3V7IPX7Xl1JpzLpiL7lms9QWmhvT8hn2HLmzddCJGeSg8NCsCzY9A81WcLDn3pEqwd4a8MDX5WvbR69bs2+b0+9n7mg/urJofUaQGakDZWiwrAsuMwLJAWCZ04gV+vL/jhfTnYCS4T8RkqYQskpDFElAxw7kYqwTM4xSLyXzgvLq5BtMXTvvgH+MXUr1CZ/gMxQdqddPWnQhOKuWSFiFtFhOlMl2ZPLlMmWyW6qpFxCURcU5OVs4iCkJnfzKM807f8XP6KqjxutxQvU1M2iXAmN+2y/zK7SpsI4QjS6kQ6e1hurLpSXm8pBPBb38yEJvZ9eUxPs+NDBoufClk0WgtMXHJzqnrToRQpSGpVXyyKpyoEuuq0SS7nLYpEg3Kd/eOEHzg98qM1xf8oEi1c0FcpV1Ol0thxNe/7qTnwEjKiZGlfzhGOhmyATx9waehoaG5uflJVsr/vuVPcmodOnRoWloawzBOqVX2sjgJrbCw8NixY2fOnDly5MisWbP69evXp0+fZ555JiAgwNfX19vbmxV6dcrzOKV62CXdu3cfNWrU9OnTQ0JCcBzPy8s7f/787du32SvsPMpfv/IrGBkIxVr7emYMfm3VnE9GbbkxatNF4f8w8ne+WP86o9J2LXmqNfIRRhqBNCso/8PI3/Wy/gus/D+M/JVBRbse8Vf72RYjUdrMYuS41KvtMbI3tEY+jpHMfyJG1jeCEUxHpdZmgJGNrRj5Y+zs7XPWnFQl5eNEGZ8CGAkDI1lrJGu7Y22SELeAeKmdT5VzaGuY3sxJMfOJUrGuTEaXC+KNojf/9uqIKYjPM0jgyH6cFdPfPYxT7D5tQvppGAkFTi18ylHQVowEvrKUlU+Vc6mzPPK8lDTPINJemiT38An0cvdxR3xdek3ur9wyfb1BkGyBkjYVYqpSBLRtnN6tzru2LUZaxASwcrAYiVMmjLKitJ0DpHTMkckZPHVCv4FvuHgGuCPunoiLJ4J4IghwpULcELcAl37jnpVtCiNrMfqSkKzl0LVT9bUc6qxMV7mAyHtt8jwE6YogHkiPod0nL5+w4Kgk8Uo4fUVKV7Fj9LaD76d3EgdG6qtmJptbMXKZUYv+axiJZYPQQV5WBBeGRIYXK8X5Mv6RKNmB9e/YstLuP7zf1NzE3LjBGHOLFyzKkiiKlBGFalmOFj0VKTg0W55JbDiba6i7fPn+w4Z7zcw9hrnLMPeZxgamgam713zx/G1jztUfd1iXzspT8QpV/HwQaYlnA99RkOSqXWn1rX3MGmnQ4AYNnqUVn4kIPx0bnZ+0sXTnt2cNp+uvVNfVXX3A3L/F1N9hmu8zTF0T0/ywibl0tT4v79LO7admqnMipMUqrFgemq/mHVHxvp0hz/py243L1683MzeYhocPrjAVeZcWR1qUoUXqUKMmLCuCmxGJZgDFHdb+2XmU5pPeQH8mRpokZBlbxCSI2mXtclLSLAHuAFbh5kpR0snJ8zY+N0XkEvQs4vHcQOG7vPeOcpNNXMrK15dhVLGQLBIRZWKyAicvYrprIuKsUlc88/09r4fODegxyNW7n8cw+cuLv+PQZglVBfVagUjP029L51/ZOxk8WAmLamu1cpMJTzgleO/H0PnrB0yc6NerJ+ICeo2rVzef7i8EvjCx5yh5X+l7I1b+EqwvxmmLSmeW6ux8XaWYKpclGGau+WnCtBjE5aVB2DruB2dCCDtKVYSTFgUNDZJQ99h56H+i0gYjWafWTjHyn1RqbWlpcTquNjY21rf5sMqiLD79138zDHPmzJmOsZFOjGS5jrXWsnZC1mDb0tLCXqiGhoaTJ0+SJEkQRHJyskajCQwMdHFx8fDw8PT09PDwcHNz6wiTLi4uTvdXT09PrVb7zjvv7Ny58/bt2399dGzbwo4Yeb1two9WjEwf/NrqOZ+M/h0Y6VBp/ic6zv82+bddgadiJLfVGilqy5AwbyTLk0KH6HqEoF3lSS+vX13ebj/On51u6Pzr0yttt223ZvbjLW+7Jltvt/7Tf7bbvOPK7VZo+7Pjyh2XtF2frXdcp8OSPwAjO2i0/lESO86wL+eY+a9T+Tc8vn7TIR7HSBPEyHPjUq/8Foz8j7RG1j/BGvkkjBQSZSgFnFqhxE7nTq0YZeFStjDaAhiSNqF6k4Aqk1Il2pR87pKvXpso6u3rB2grcMRItQ5PyAJeZBTIliGiQN62Th/HOIRGPg0snDBxpQWIhZBmEWXFCQuqrwnVn+Pqz8tSa8QfHJmkWN016FlfBPFHEB/EFfEe4D40Ytp7x4FOHaBH+69hJEBimKIDutoCayQ4BZQ2c/WWsBQrT18gXrZt4ICxPoirG6RHP3AgxBd+uzlidNyQF0Vh7+WE07VSqhKjKjj6Ci5VKyZr5qeWjMOWuvt4gxXdPRH/wX2C14e8VaQgLoXT1WICxHp1ehE6XQhiIyl7OIuRb7PWyD8EI/mGSE5WRGiuBs9TygwyQVaU7MiqxSVH991teHAdmqqbztVc/fsPhhna0xKpQRVhVEmzVfzDkfgPcyOq9v7CjnuuNDPnGeYcw5xlmEsMc5Nh6himpYVhHjxkLlbf+PbjkkXaEjW3RBFWDEx/wkytOFMryXq8GBwhmo8wkmVIgwY/o8IPaWQZa1ZfPnai4fqN5sb6RqbuPlN3m2m4zjBX4EFvMMxDdlLk7kOmpvbcxx+bFi3IC0eLZdOL1CHpkWHfRQp/il+XbTRZGxkbw1xvbmDO2+4mv1MRxS1RT8vTTjdEcdIjeWciBRnAu1UEFHf+KtZICzBCgmICGAnzyoh1FhlhlenMwEpPFXKXffrqZIFX9z4I4ukSNPz12ZsVSbkSqgIDsbtmlCoWkEUYbeVQNaH0FQ55TUSUK+KOTZYsf/75YfBedkW6jfTnr8foUnxTlYCqgNo2vxcjQXYfZapFrctUrtmBzlj26qgRPr4ubF/xdHQZkHkecQ9AnhkexFvy2oofMF2OijZJCIuAKBdQFWKiLGbDQal6tbvvS4FD5IO1HwbH5QlIizS5TEaYJaQFFEf6nM4fI532oLYLH8NI2oRTfzxGHjt27Mcff9yzZ8/uNh/nzz3/pZ/du3c7z2zfvn00Tffr1+/RfzusOTGSBWnWu5XFyMbGRrbi9HdtaGi4devW/fv37969m5GRER0dHRYWNnToUDZUkk0T0s7HFUEQLy+vtgt9fHxCQ0O3bdu2f//+ffv2HTly5ObNm22BjTWNtjOKtlvh3//zVzCyVWKnI0Y6YyPh9CibaMrZU5wDxN80VGrbazqr/669tVu53U9nCztWfvuabbf957Zi9+Dctu0OO63/9jXb7flX3v4YZeHTlo5KrYWqYBgbibISO047pEErzmpNHZmtfSJGAkHy3186INBjdNpuh09fud1fndu2W97xp3NNttJxhacvcW7+pNWcK7StPGnlTpc7N+z0rx0WgnEOTEiGFmk4hRresSjtV7OXJ0Unr1mya867xyUb8oR6Ow+mCYA6/07lSEelVaMV5GZvU2ygTgGlknblSaPuDv3aeUuzlU5ve+fCdiu3++lcrWPlt6/Zdtu2W7Vd/gfW2x7iaZ20FSPNOGVGaVOo3jwh9ey4TVeUOrPu/UOPnFo7s0aysZG3/7OcWqE1spO8kZ1jZHK+EFojn4SRMIzQBC+cKSSlLExfyqPLcLpMSBVLKIMq/ufXxXO7+gb0BIMGd6TbmOA3d6i22ASUBeSQJK2i1qyPHW5fcN+Dpyd8gPIpC0ZbUSDbaJHr7aIkM6a/MF1/BUupjf7Eypm32feZoW6Iix+C+IFhKYJ49EK6TwxZexBET4HYyN+JkSDmqkxAlaB0CT+lkJeSx9l4ZECwJsjXz98FcUMQVwTx8Az08+/n69uri2dXaJBEEBcXxH/IKGWqbH2mnCgVgySTZQKyQkxXx35oCYuher38qocHAsfRnm49p72Cfix8r1BOVwkJK5ZUiv9mkvzzMDI7kpulDSlQY7nh4v1C3tElc4p+2nHt6vmbTNNtpoVpbmzIPFWw+q0sJZ6hkp7UqtIVwoxwzu4oydfLF9SmnwYJ9iA3XmGYiwxzrvHhufu3zz+su9kCzdzNDFN/jzlrvf715tIYUYkitETOydcI07WSdK006/ECJ1MfMSR4F2rwLLUgQ4WeUKD7Y6NyPvqw8fylZhjR28A0NTIN9UzdQ6bxTv3Dq41NNxjmFsPcbWHqm5im2w8Yi/32tm3GKEVueEixamp+xLQjkfzt0Zqfv/jGdq/BBuGTuXaROfnLpZXReZrpRu307CiuAyMjcSDc+gTNWOfbol3lz7RGOrT7WSMkuMOBpr9FQlhllFWsL+ZuODRSssi3W09wn3YdEDQ5NnTVAc0mu4ysEugqQboaslRAl3D09uCUC9NSLnPpWmmSgTNX37XvYE8PT3B/urggrs+5jZwnpAt5myt4+nL8CXM9HbstXAIyWAqp8vBNdqUuR/Huj3z1WyOGDenqA6dgfLr4BvT1DXzWu3tvr4AAVy932CU8kN7DA6YvmLx6j2xLuRAoLZtQCoi7RiRnznr7035DMSRwdMDYmDeW7RHpyvAkK5ZoloIgSRBfDWVd/8mXRweMNC1OOt0hNvKftEbev3/fZDKJRKLBgwePGTNmdJuP8+eY/9LP6NGj257Z8OHD2WQebUlyyJAhJ0+edDq1tvXmbev0y1omWbtuU1NTY2NjXV2d1WrNyMjQ6/UDBw4cMGDASy+9FBAQ4LQ9eniA9wB4FXh4sGGTzuMGBQUNHjx47NixY8aMmThx4vfff2+xWMrLy6uqqu7cucMwDGv//EsFT/42jPRoh5ESXYmkVWLHKWjXRqYO6DPDAsTnWkeW7Mjp13uTcz9tHgKO1D7s3h5fAewWaphbhI8yADlTAXWstG2Ao0lsCztszq7pHPA92rC1AY92/rhLxRPHheyG7HnBOtgD3LbzqTTnOs62Oa9Am4vTtp1snb3szp0/anm7rViMlHZI+PEIIyOAUusjjIwQZ0WA2JAcjThHIwT5k7WoQeMo8Cdm0KIGEKnRmtnrqTzJYg94x0GtO7AhWzQgMzMoIL80LNBy+OhtCA+drUGzYfKtHA2W02YTx060aLYGtCdLC6TU2aOAVM+P9gxV7qDWnaPZIACnNcyErYOVwVEeFVYbz9EwsAd2W3ZDiNCtbYbrwFMA14QtDlU/cFlAwjCoXQ/P2tn+dkdk81TDqwqvD0R0tm0wf3Xr6Tw6FyDd5zgpQbYG7wQjZyf9LoyEmcxBVjm2wGztECNbJUWcMNna2Tu95Rz9os1dzeZocN78nXQctss47/+Olce7nuO4rVs5nwkQChx+T096EDmfBmy/7rhJJ81r26FaD8r2O7Yl7Z8e7DogzVjrE7LNFTM7rT7OhQAjYWEj+0L01nGpF8Zuuq7QWYkPDhcsT60eN4Hp3wWk+X0GBrS3iY1sbmy61dj4H4aRDY31zc2NMKE269rqmFqFsZFtnVpBbKQq2eHU+jhGtnVqNYmh4Y5Hl4bpS0PpUg5dhtElMr1RnnQwNPr9AUNHeyBIEHiH+yPdp0566yfFR9UoZcXArIkFWgs7f0DjJMBI6L9qwUgzcH/VWSWEXUVXiRJNqK6GS12QkKZZuuOTw99G3Hu6tnqZwrFDEBIwmvPeASDh40h/93Sn1rbWSJsEEF2piCoU0Dl83cmQDb+MWUi5PTfIwxXxdnP18O7u6v9St8HSMfja10KXDhiC9ez5kq+Xn7sL4uIe0H0g/43ZH4oSMySJufKNhXKiXEbZozaV4it2jAxTBHYP8HCBw2a3Z4JeiRqp/ZKXWCTQlwPhyqQSx3vWI/iPAAAgAElEQVTr13iyFSOrgVPrH2mNRHMi0SwtN1eFZclFu+Siv8evqbEWXm++d5Opb2hpYK6ev/fd9pzZykIlmq0RnYhSnFaLTykF+xbPOfPtl3fOn21pBhzZ0MLU1dc9vHur1laUl364zGy9Xg8cplsYprG5obnhLmPNubRprWWR2igPM2qEGVpZukaaFeEssqwINmby8fBIDZ6h4p+Sc45qsGwirtqQwdQ3NDr0hVuYxofMgxstV2rOFRguV1fdffAA9MwW5gbD3GtoZu7cYwrya3UbCubIC1TTS9TTsrWc3RH43xPeLy8vr21uvMgwAEIvVt7/nM6ahWdqQrM0nIwIfnqEAPq1si+S3zF3+ydjpNUREgl1/AUbS7DkUoG+XJhql+ozJ84ne4+airi6I0gX10HS1+bt4GwskmyqFZJVaHIlCvLNWFB92VS6IvjDa/wtZ0XJBvztL4YEhyNsEgUXBHFzQVyf9Rw2S0TlcbbaOSk2/MleA20f0GxdDFRw7BLSqqZLNR8cEM1KHDZ8Qg8fd1cQuObe7eVxI3lvjhIvGS6ePXA6t/srAzz9fUCfdfdHuo8aFLmVv7mKB8yMpTyqajp9XkYWxSTsmSpb5hU0zK3PlGFygrc+n0Ne4RHnpVSllLRJQA4hh2dvx8b86pLHMRLI7XTASAbevPCLHc63/X6qZcpoNC5cuDAoKMhpEHPCjLPi8n/j4+7u7mQ857k7MZIFyLbo2ClSNjc319fXN8AP6+9qt9s/+ugjmqY//fTT2NjY/v37s2ZJPz/o/4IgrvDTVpvH2QzWDzY0NHTevHkLFiyYN2/e/v37GxoaHjx4UF9f/6sY6VyBbepTb4R/9Y+PMLKRYe7eZXLSrrV1anVYIx/DSJwoYTFSmmyWtSb8EMEUXDgMQkFB3p0alKoWUJU4lACAQ732I6on9SA40oJZXikWh+w4WSkgq5x7gxYSQKdw1GUSAhV3KOQOvGkqMapSQFWibKEr+aBU8WmQCggDSZjZTNTsiJDNwAwye+Fg2wqwFV2JUhUCEGsDRrdCAuy/VScPbCUkwPogVzNILFQBDkc6TlMIGuzIl9vh7MC27IgQ/skKUhBRbU+q42DahpPAP8hxFNAqkLkajqTZc3cMmuGkNttIC7ApAS+P1ivmCBqyih3K2+wYlw0lsLJOrRLKPCMhb8Wy/R9Gf3Ik6q1ikPCjVak1QpKjlRi14DsbRIgA7x6jVpqnluSrcZC9WQ0U1x1Fzc1Xsymg+QCu2oJfZ6mSW01neHaEMEeLGzUYm5M5X43mq9ECNb8Apm4GmgKax6EUZGlG89S8AlhAlmYVv1DFrg9ygLElH/yVm6PhZWp5WRFAzS5XgxWoBQUqtADkc+YbYc7qfDWPbbZRgwLIZDESaOAJcjVsMxwHYg8HThlsyCaRdmS9ztWgOWoIvQCJUaMWzdWgIAE1yDINkmPDzNh8CMaQmQFAooYINBs0DKzjPGX2xNljFai5BeCqcmFubX62xrEHmOAay1Nj+WqsQIXBTbgFag67fusmXKOGn6PBjFosV+uwRh6P0n49a3kyxMiYd09I4vKF+koe6CysukdbayTb+8pxwo6RlShVzaNqedRZHlWLgvu2XAjf3ewtDb6hZbKVf9ix9yOYBPnAYKSMiIB3PuiPVShVjVHVOFnBJjyHGcKcm8C+BgQvbQISJocH/boKa1+ANp7I0e/AtpC7QEo86OQIekHrgapwEHpmYWU7YdIvS9tU82KC1fwrB5uQ1bBtlewmrbotMIseyE7v7KrO1oJM1JCu7bC1dpBSG+izsL3SJAK8ADbEYY53MFii2h4C5iED8vjgEEJo+G29kjA5PHjaVITRFVM3Vb225caIzfdlukrd+0eKlqfUjBnN9PdxKLU+HhsJMLKp8TZUam0V1PnLS+zUN9Y3/X6MbCOx45CfYWVa2f8AMYizKkMpcxhtDtOXCjblSxIPBM+OHzB6up9/gDt0/kR8+vuOnDVx9SF8ayWHtgIDIwWe1/A14Iy8cr7DwMylgDKz4jo4uLmtUl15eHKFQmcRJeRx3zdMXXF84qxPJohWvDwSRVwCgP8e4uWCuEJbYSASOIb7PmuNrBQSlSLi1zES3LsgNtIG7l2yRELlioiT/A0/joyJ6z6BjwSCJGYuPoE9B2H9gleOivkuPKlMui6XE/31pLC3Xnl5QqCPr4uLm4tnUM+RstHzt4vjMrUJRWqdNZywKKlC2YbD6FzdyyPe8PbwdEdAdJiv/1D/oTP6a7+YrisRba7k68CtKXa8dNve9+3rfw5GOiYas7SCTI3o1AzFz8vfPPbzrvN3Ll9i7t1nHjAPbzw4faRy/ep8tbAknJuvwk5HSI6rJekLYvI+2nyjuqKhqbG+pYVpaWYePmi2mW8e21vyKbV7/bKj32y/ePn23fqGJqblAdP8oLmx5fb5lvwjlz9JLFwUkakVGzThWRoZ8GuNaLVJOjBS/FiEpEaQqUbTFGGHIgXmH7+8eetqA3RbBeja2MRcv9JYarz8jx2Z5AfG7R/X5ufcvnn9dlPDJaYZuOM2NjBXLzUc31+4Yp5ByS1TcYpUnNMa7oHFauN3W6svVtU0tzxgGObhvSbjmcqkNdnR8kwVL1uDGrSCTC2aFcF3zJI+dcr20RQseDGDWMo8bWi+dlp6pHhPVMznMe/HLfhw7uLvItelywgTR2flO4ZK7f9/O4xsHlsBKKACISirmLBJCWs4acUSizCiBN1if0NnHL/k4wHTpZ7P9ENcfJDAkT2xjdM25HE3neWlnuPRFZzkcl6yHafMArogmCiepreFfnBsymxiaLDCv89zwM7OflxdEde+PsOjJGQuZ0slJ6Ucpx5rw1NaiBNmIV0h1leFE2WRSVmSuakTJkqe8Q+CtiEP5Nnhz+KrhOuOSTYeweO/5a4mx0XOeXH8BP+g7tCNwL9n6LuTddYQnU2kK+FSVdNSLuB6UxRxUrlEH/Tsa4hnv4BXFa9E7BrzwQUudV2sK5cSVqdqK7gsv1+L8rdhJMSAtvTorD8VELZv396jRw9W96UdSTrhkeWc/wvfrbfXo3+dTq1tobEjUrbFS2ccaUtLS11d3b17927fvn358uUHDx4UFBSsXbtWJpOFh4drNJrnn3/eSYxtMZL9j3BxcWHleXx9ff39/f38/Dw8PKRS6Q8//LB9+/adO3empaWxxkn2f7gjK7YVfXUi5VNvh3/+j+ztBhTwWIw0/j6MDAdO7+C5AZ2vQCJWDCRureJRNXyqGiWrMLIS+q53ovcGx0nAv6C1OOyW7IS9gLLgNMjYjJEVArAfOOoiq1hmg2NEaytGlgGMBHrRdjiZVYWSIDkt7/HCJytREmBYK9Na2AhwoM1OgqOAreCGMP2sgyRBBmmKnQsGrv5wkArXB8xZgYJ9gsMBygXtLMdBLi6IuO39LJwYCTLWCslynKzEqCoU8F4FDtJTO8cqbDyOTUTZBeAQrUcBY/0KrJUknU5G7HMbDkDZkbddCBkSXDGyCqNAq4SkDSpv22AebMc1F5I2jLLxaYuEMke1YuTRqLdK1WixZroj4UcEoEcjTB0J9XUk2VpprkZaoBYVqbEiNaewTYE/uQVqgFg5Gj5ME80iE9DYa4VGtuKwwoHlWjwnQmjU4nlqNF+DFmr4hWp+ESyFan6hGi3QYEYNytKdA021AiMgTLAmWFnFA+irAnUAVBp+vgZ8F6m5hWpurpaXpeVnadEcDQoSO6uwIhVa9Nhq/CKIo3nAsIkBRUBH9i8BaM+jlrAN44HdangF8BAFoAJKPsiDDS2iWixHw8/T8gvAuWAFGhSuyS3QcAG4ajGjVgCPAhjSEMHP1vJzwcqt5/LYufMK1dwiWAoAiPJzWNMr3EMeQGKskD0jsJVjTfasC9XgiLmOIwKMLAR5tnlHo7TbfxtGwrvUhpN2jKhEyWo+VcMja/nkWR5ZwwMEaBc4/FqB2caBkZDi2FkS2KnhRAy7kNU/B8miywVgQqeaB0oNn6wRkFU4ae/Qa8wQumwYUSEA3YSlQViBPc7Z0wUguIwdRYBBPuihhAUO7+04CTAV5mNnO6ldCN7jMGMCgEZ2wAO2FVNWlvRwsgJuwratGvZNmLsePgREYBOb+BFGgh7Hgh/s0XD6BvZTlLJhtMX56IAeXqDfgetJVfDZc6dq4KMDdH84RAeRRG0wElw9nLRihA08najqULpyckrliM03hqc+kOqqde8fK1i2qXrsGOY5b2CK7NQa+Z+IkY1tMJJ9P8H59nYSO+2tka0ThK3gDgmenWKUEha5zioiyvm0lUsXSjdncpds7vnyBK8uga4uLm5AggbxfG78oMhNIYnZ/M1VYfpyHm3B9BYBxU4iOunx0c7hns2QMy0S0ibTWVWETUOYhOtPBr+98/WY1IFhi/2fm9gl8EVfvz4I4o0gXWBopCfi4o549kC6jwtbux/+Z7NzkBVOfR32/df6bRbCVCXw2wLfE+yrolRK5ogSDwjWbns+RI74dUOAtRFxeWbYEGFi2Op0TnI1h7qGUtfDEyzypb9g0rdf6jfAMT7y6d910mLOO4dU8YWKJLOMMMv1ZgVpVH6we6Lk7cA+L7sBjEQ8XX0Qn8HIwOgRK9PEW2rAvNFvi/L6UzAS+pAYNHhmhPj4jPBjy+Zm7thWc7bmMlN/iXnQxNxlrtVe+OLD7JmqPDm/RMEtUvGz1PhBjTRfl3Au49SDunu3mOa7TAvT0shcqH3w950Fy2Ky5in/MQPfsWpphcl8497deqblDvA1bXnYeLvldlVDzkEbufZ0lMyolhk1skyNpK1fK1RwfWSNNGjw3ChxphY9Fh58cJbAdOj7a80NtxmmqaUZhF0+rGPKLTd+/MqwPOZEjGTPwshTf6Mv2UqvPrx9kWm4yjQ/ZJqZhgeMrTh/7VtpCn6xEjWp+PmasOPqKUeWh5tO7bXffXAD7K2FuXuzIeOE5f0V2RGSPLUgT4PlaPkOjHTmrmxbeQJY/pkYCZKawoltMOUho8qFycVifZH4Y9OI1T/7v6Ho0rsPiL916+U/fs6YJfu4tJ279WJoak2Y3soFU4zlCjJPlnAwdM1PYxZ98apwRd9Xp/n490TcXB9hpIsH4tLHd3iElDTyN1dz9RVsN2x9DbAvA+e3s/OCp7xAZ8LpKknq2XBd4cyEw1PQud279fYD3qxuiMez3mFvDVr8E48u46cUovpTIv1BWfIuTuyqV0a9wXqj+42OHrMuN3ijGdtYwiUqQvS1GG1Rk5kx677p89JYBPFCfAd7vDLvGc1hvu6sVGeS6MoklEUCpjkdr4onNNLZ2vaV34aR0F3biY5tK09Fg08//bSt7ssjfvpfDV6BIUOGsEqtHTHyV5ew3qes5i3LlnV1ddXV1QUFBUVFRYWFhcuXL584ceKIESMGDRrUp0+ftkjJXv6O/zUBAQHDhw9/9dVXBw8eLBKJ9u/fX1paWlxcbLfbHz582I4V2/186o3wr/7RqYnnwMjOrZGeGa9CiZ3NN0dvuiQkillrpCwZJPiRwYl2MMtOVYAErQCHyqC8c5mQsAgoKxhRkXYhAVXNQbJlx+AS9n0ANuwLlDUjiIBGtEVIAK7jUZUcMOSyCgAlmgEoAt4DnnVw4AWn8IESmFVMlIuJCgn4toA0QmC61iQhyqREmUznKFKiDCYPszgkQwgLTtgAywEUBCM58NAjLFIdFIcny1lK5INhH3gIiHWlImCZBHZLYIokbWLKJiHNUsIkAhloLRAjawRkNQRd4K4vBI8OMBoGQ2qQRNcKdctMQsKCgT0AY4XYoWpmAmNT8BQF3m4OUydsFbuJmDQJgYIDAHUWC8Go1zFXzlZsAkCMdoCypEUExz9C0iKA6a/5QIQC7EECxqmlIrJESJbhpAWKU1ikbTDySBuMNETysyMBB0L4wY0akPzDoJUYNcJ8NZanRrNVnEwl54yCm67kpSu5GUpupoJrUPJylDxgKAM2Q+BUaQB6cqDACtAqd1rhjBpguMvR8o1aljz5Bg0vU8PN1HAzNLx0DT8T2N94uRquUc3J0fAzwfQrlqFF07XYGS1+Wis4pRWkabFTWjRNi57SomfAn9AMDT8LbIumazCDWmAEmcAEOWrgfJuh5aXDnWdqUINakKUWZIJGCoAtUY1lalBQtFiWFsvSYJlaLB3sRAALnq7BMzTCTFAEWRo0Sw2KQY3Bb9Sg5hnV/DwValSDM8pW87LVXIOal6nmG9T8HFiMGp5Rw8tR8wxqNAsI+wmyYauytHx4vrwMDQqLIEMDDpeuEWRoQAvB+YLGCwwaDBSwOT8TXCLuaS0P/Am2DX6zW+HpWlAygFMrnqtF8zWcbC13/wzt57OXb5ydvGbJd3PePSrZkC3UW3k06KStszmgAg3+dgFZySMroRIkmAaSECY57FNC0oxS5TyqkgfuLitGAcMM6KGOe54dbLOTGhCESCtKlqNkBR/oZdpAh4J6k2JwK5pgyGUlBqaKKmBIGphPgZM7oL9DwoROBJRFRJWJiRKJo5RKYWNgkj9WzxIcFwxgwLwJmD0RgN5XKiWKpUSRlCgRAz8COwaaAZotgNkEZQTQLsFBB6nkk9UYeByViqkSMVkK/Q6AJRaDoAu8k1jdQQjGcBbs0TnirdNAcELNxqesHBr0LxF84onhowAMCWARgnwNpRKQ/K9MQNr4YKoIPNMcEaeAHs3Q5cHGp+xccJ0r+GDGp5SjL5q0qXJiygVVslX3/smcZZ/Yxgc3P9e1U4xs+c+yRsKEJA11jQ2NzU0twMewGRqP2Ig25klOra2xkXZ4o9jYZ67zG742LBKdTamrkugq0ORSMZ2jJA+8Llvg7e0PcQlxdfVAEDe/V3nB7/zMIwo5dAWHBpcbo804VSKkSuAT8zFHWZBsAxSQXR0wJFGu1FmiqELp2j0jo+J6B8t6jZjYtdeLboinB+LiDUDVFYjdAJukL0BKz95I9/Gh7wGMxIEri10IbjvHPCK8SxyOK+A+oEw4VYZTJgFwtWVvx0qctMiofGn8fnRpyrOvTQaT2cCm4ObaP3h0zLdCupqben1S8tXp9G0RfUmTkDdj2aevDZ8A3PbAxx95TjQy6gvRhjwJCBKzSVMrpbRJEn+Gt+TL58ag7EpQZSQI6c5/cdZOnLSJ9TVSfTV8NLQf6bYbGf8ZGAnyIgJkEp7SiH+ZrTB8TNUW5d5rarrMNF9m6pnmO8yl6uqUpDMqkUHOy1VxC5U8oxLbGyUv+PKjq1WW2y1115jme0wL0/SQKTTc+xthkIUY5NP3y6dvi1WWZh67dvvKfablNsDI5lvMgwdN1xvPllg/o45FSvKVogK1JEsjgfk/pAatDFbE2VoYdx4JYDJLgxfMkmVo+AfEkw7GCEqP/3yJabnKMI0tjUxzI3P/DlNouPARcUwZdkYxbZ+av3fV4oqMExdvXroGdHea7jHNQCGoxpL7wVvHFLwCFVqmRovVHIP09fQZIaU7PiqvqH3AMMAg2dLEXL14a+eXpsWxRoWgSIXlA5sk9NUBuUbal2xodXwUp9FKlX8mRgI3cmC1Jm1C8Owrl9Blis0Fmk+M45ZuRfoMdIQaeg0eIEnixBn4+nLu5qqwTeVcvUlIm1RUcWTcXuHc+GE8bY8hk/36vOrp3Qdx8XL39gHyqTByFxJdT58R2nDSiKXW8OlK1qrQ7j5kf8J+CpsEJkGsuM4i0NdItl5Q6otkK78e+QYOZkzAHe+LeL3WO+qr8Ql502hTiL6MQxdhKQWqrbnha7ePnK50cfVFEMR7sGj48kPBicXoxjKuDjyaBbRVQebO3PDTc8NDAEa6dUd8x3mMXSPckKOmi2RksZgyi2lrqz/br/SdjqfwGzASPCoBB7SlR2f9qYDw6aefenh4sIZHttd3RBenWfK/rMKe79O/x4wZ0xYjwTX+zR9Wj4cVd+30P6GoqGjPnj3ffffdN998s3jxYl9f365du/r4+Hh6enb6v9CuqV27dg0LC1OpVHK5fOHChTk5Offv3793796dO3fq6uoYhnnw4AEbRVlXV+cUBOq0Jf/6wo4Y+ZhSq8Op1Svz1VHvxnw2ZvOtMZsuiYhiqa5UorNKk8zhOotEZ8EJq5AG5jgxaZYl5SrjDs/Y8Etk/EF5fJog/oyAKBBR5SJdjZioEROVYgIMSaEFwwbfng6dc/aNKSFNMp1FTFTgVA2qr+LQJl5ylnDjUVH8YXH8SWFiFp5cKEgqEQOHc6twY5lUZ5fqqmW6WmmiPXxDnjr+lCrhpCLhhCbheNSGYzM3HJsddyx6/ZHouCOR64/K15+UJOWLaDvwFCXtPKKaR55FqSpMVypNzFGtT9OuOzYj7oQq/rQoPgvTlfHIqtDkCh5ZIaLtwuQSoEFNleOAUcvCdQXyDWdUcScjNhyXbzguSjglSMhDE8uF5FkBWYMRdniC7HjaCtT4CLuEKJfpbAqdVaYvx1PMQl22NOGYPOGYJO4EviFdRpbJN1WiyXCoQIGRrjilQpZcqFx/RhN/Inz9IXHcUcnGTDwhR5RcKiUs4mQwhIX4asFIGyfZzqfO4Sk1GFmKbUwXJhwOTzwmjT+Jx2fxEovCdEWclCKUKhLD7E0iyiikCnDKxAe69DYpaZmZkPdOq1MrtEaG5ERyDVEcUCI4OVpuLvAIFQLuihAZogRnIjhpkdjRGZLDs5QHYyIOxUYdmhNxMFp9aKby5Ex5eoQkVysujpTka/AsJZqlBREcmSA4UJAVAXxw4PwpsMLla7j52jCjNiQ9IuxkFHZyjvTwHMn+GNH+OZI9c6R7YuVHYsNPzMRzovj56tAsRWiGRnBGwz+l4R6ZIdk7J/KXeTN+mhf54/yIH+arf5yv/nm+es9c1eFY5dEY+dFo+b4Y1e452vQotVmtzpfhp2WcY7MEu+dgf58j2DNXfDg6/OQs9dFo7f5o7aFZ6rRZ6jStOD1SaJwpzlDxTqt4aRGCYzHy/fM0e+Zq98yN2j03cs/cyL2xM/fPmXV4TuSxGPXxaNXx2eoT0drjs9WnYsLTZ+EGFa9QjhqUgrQI0Zlo6ZlYaVqs4kSs5ni05uRMVcbMcEMUnqnhZKlDDSrMqJXnqGQZcsFJjfBotOxAbPieWNmeWPneWNXeWO2euZF7YmfsiZ2xN3bGgdjIg3PUR+co02ZITiv5Z5T8TC2eNlN4NFa8f57ol7nC3XNV++bM2jdnNviOnbkvdsbeOVH7YiKPxkSkzVBkacW5YC6AczqS+/dZ2g/nrNgQTaxZ8v2cdw9J4k8LU4p4dAkKVAPYOR1gTocMU4WSZ3kplSF0kYDIViediYw7NGvd3oj1B8I3nBAk5oYmW8KocizVjurNIB8YBSyB8HUJ5ing2NsM5kQoG5eyhuorOZvPh6ZUhNFFUipXnXBKG3cwKuGAYsMhUfwpNKGAk1COAuNhhYAol4CHiR2lK1CdSbixQEHki+NOyjYcVSQekcftV284oAHlkDbukHbDUXlCFp5QiCWX4tD+JCUsokSLKMEio4qldLo66cjMDfuj1u9Wxe0Tx2Vy4y0hRG1IyrnQTRU8famELFEQZVLKgtL2UP3ZMP15IVUSQZ+OSj6gjvtFmXgSjzdyE6088qKAvCAmKqXAh79UDKZgADND46cVBo5acKJURhYoiZzwpExhfEZoYu5UnYlHVomIs0IwH2TCyRIhVSghchW6bM3GE5q4ver1e5XxRyVJOaEbS6ZsKObTlcLUahSAgxmnygSgb9o5dFUYcMsvFRIGSdJR6ca9WNJhdOPpmetPJa48cHrJ57kjuQ+fDfqNGFnX2ATLXzJvZCtGslKtLS1MczPwQfwtGAnm/HA46wajTsHty97E0EpuE+nsMl2NKMkuSCzU6rNka74YMpHfzduL1Z5x8/BDkIBurynwDSdxysyDPtzQtlkmJotEZJHIQZLO2RE4OwiCBMDkpZSoCNfZVMkFknd/GoLG+r08BOnWFXEHOiBeUFPHD3iyIi6Ihyvi54Z0cUG6IB59ke7jOR8cABOBoOXlrRgJ+g9OmjDK3FpMGADIMoxN70HZ+XQNj6rFqIpwfZki/vD0mXG9XhwOQrfACNvLfQB/3JK9XLI8VH/uDd2FYOoKnz4Xriue/f7OUeODHYNwxM8lKORlIclLNGKbKrh0JZZSK9JX4UkFgnX7X+ZHIz4+Lq6g8YiLN9JtYk/uhpC1GbKUmvDNF4QgTMUK3bWBW2/HUa8IzlxCpdY/MjYyR4vBeAPhEaXg21i1/fTBB7euP2hmrjPMVaaJaapjrlyopRJOq/B0BTddFZar5BpV2M8zZNm7Prtxo+YGU38TGCJbmIe3mbQDD1PiihUhRtnUg+HB26PFhYd2XbhceRumALnX0nCLqb/F3Gm4UmH9+sODarxQjhWpRdkgqEOarZXmaGQ5GilMJgkxMgJgpMGBkeh+8cSD0YLSE3+/BHVx6loaALjevtKSeeTy5g2n5dOzZdMOy8IOLp1nO7z3/MXau4CAW+6De7yJqS7LfX/RMcX0fHVYiZpbrOSVKcJKtGjme6tLj2c0w+Y1MM3Mw7tMkfEimZApx0uUgiI1nqPBDVphFpBsbVPgEkOEMFuLGzSt4f4QI3Mi8ZxIYU4k/uc4tZokZKkYPB+B9QCjysUpJlVq7uwtRzmL1iM+bEiYH+I7YZj2Q2xjLqY3c1PMfL1ZSJfKNmbLVu/mq1cNGzKyR2A36MTqhiDPBPQZOmTcVMTN6dXqjiA9vYarZUQOnlrDB/ekTQTmQTuBNOg1AGYrnQ4hfKpakHpOsalw+oKUwRNDQKwlGKF3QVzGDJp3kJ9axUkpDaMtXLICo6uVW6rkH+wdyZ3p4gkiJN36jX9l7tchifnoRhNfZ0fJCiFVLtMVauL2vvh6uIt3kIubF+LW07NfCG/RF/KNZ2RUoZAqFdEmMc3msO28y3Tacnbhn4qRn332maenZ1CtDd8AACAASURBVFt3VqdNrO3CdgDzf+TngAEDNmzYUFlZ+a9T1pP2wGbpZBimoKBgwYIFK1eufPPNN8ViMetp7LzOv/p/0aVLlxkzZqSkpJAkmZiYmJGRwWJkXV1dQ0MD+/2nGifZ1/Qjp9actPYYGYgwfb0zXx21Juazsam3x6ZcFhMlUl2ZRGcVJwHLIa4z44RFnlolI03KpCzx2ztDlCs4wqgpePRIfOlQ2fucd34M35gn21gRTtRKiGoxQCww1w7fnkCmDhYbHDyViklTOGGVkXYpbRMSecFrdg+fmThEtmiIIHYo/uZQ2drgJV/j606E6wrllFW40SLW1Yp052W689INZfjSH98IXz1OvHSUeOkE4eIpgjdDBG+GYW9y0flcdMFE7sLhvBUT5+7gJxVzdDYeXctLvRxGnRenWND39o6UrR/JeXNc6LzJ6JIx6LJR8vgpS38Mi8/jJNl4RI1IXyWhzUJdsYw2qfRFaiJduuqHkdg7Y3hLJ/CXjOAtGoIvf1WmGxf7M7a+UKizYTorBkwc7Jy1BSaItouJCrmuWpVcpUixhW/JQ9d+M2XW+6Okb78a9tYQZYosKU+WYufqylG6WphSLaQtCrpAtOKnaYqESaLlI9H5Q9GFw4QrB+FxwjVH1USpJKlMSIAxBpeycOjKUKIWT7ksSbHjG9MmLtryCj5vuHDhUHzpIOG6YZGfTVx1IEyfjabkS/QFEtooorOEVB7IjkZbeVS5lLQ+ASNDDVEhhsiQ7AiOUcvP1YBwwfQI7EhU2L5Y3olVc/JTdWVfbTPt2mn58Qfr338yf7/L/PWX9s8/qtQnmd9ZnD9LYVCgGeEcQySeHgmCOHJBwCE/C2T/AiRp1PLyNKFGzZQMzaRDkWEHl0Rl0u8VfZ2SvyM1/9stOd98aPzmo7KvtxbrPyhdFZMfxU+XTctQY2c0vOMR3H1vzsr46MPcXTsN3+3I/H57+g/bMn7YZvhuW8G3n1h2fGzd/pH5i78V7Pjc+M1XVR99fOOtd05zQg7LeQdXRO4mF5/6OsG4K6Vs+9byLz61fP1lyc4dBZ9/Vrp1S9H6dwuXRhfHKjMVnBMKzsGZksLU+PxvPs75dlvuru25332Vu+vLvJ1fF+38xvTNl7avP7Pt+MK2Y3v5ju22r7+o2L7FSr6TOUOULeKlRygy31ls3ZJY/U1qxXef2b/7xrb9a9tnX1R9vLVi47vGN1Vp2pAsBd8cFVWgUp+USo7NnZVDxxV8lZq/88PcnX/L3/lJ3s5tOTu/zN25I/fbb/K/3VH8zXbzjs9sH5Ol7y3NjBQfk3EzYtT58W+XfKEr2knn7aTzd31asHNXwc7v4Pe3Rbu+zd/xdcGX22yffVRBbcyJ1uSC2FTuiSjud9ERKXNXrIsh1yz5PvbdA5L4E6KUPJ6+EAWvOWA2h8ZwEBeGkbUocVGUWiGgTysTdyvf+jBYsHBq2MzJ/Lkj0bcGiTcOmrVz4toMwZZydJMFo8uENPsSN4FRN1UkAnMWJhFhE1DWMMo8NcU+dUv19NRSjD4dsXGvKEYXjM0NE8eOF8QOFrz1sih5gPrbiSsN0MG1WkTV8slqML5NylcmHld98P04xarh6NyR+LyRWPRoLHo8Nud1NHYiGjsOmz9MmjAwcuek97IFmyoFwDJkk8aXqhOLZ6WciaJ3zXrvb5hi2RT+rAn4vCGSjS9F/n1SQsXkTZeCN1dyNhWLiEI5mJMyh1HWaXQFuqVGQZ+OTvxSOGfFREHEOMlbg0SJL2l3TVxj5SVdFhEXpZRdrMsXEoUgLA7KecKo0UqMLJMQRi1xfGbiP7gLNr/KW/lC+JZX3jrFST4nIa8IyBo+bULpAjFt0JAnZyb8IojeMFUYM4E3cyS6YJgsboB8c1/lF2+szxVureaRZowG/RqlrBzSxqHLsU0mOX1GHb8TX5o0VhYzVBQ9VLTgDXRZRNg7X2ArMkfwHvbv/dsx8iEgyb80RjY0gqiOlubfipEmPmVHwVASmPVw4Df8WBEAH49KPLkKSzCHE8Uxm7JCZsf3fem1IG8PmOACQTyCkC5DXuCuUtCF4alVIrJKrKsIJ2wyXZmUABNvQrKU9SllfUWEIAGGXURUinXVEl2tVFct15nlCadGyld49n4W8QI5N1i7nxuC+Lgifp6e7sCT1dUL8fJGvNyRLog7wEjuBwfElFlIs6lKWGcAiJEOaAQ3wePFipJ2Pn2WS51DyepwvVUZf3Sa9v2ezw4CBAkGHd4+r4jeWH0UvhLKp5NV08lqHmmXUYXRCd+PnDS9dVzi6+7/xgAsPjghPTS1fLq+mkOfw+mzOFEm3Hhi3Iy13s/1d/diE066ID4veL4sGzFru5Qux+lajKoG7kCUFQdTKTBWuMPY/c+wRgJ9M63gjBrbo+D/vGZxjTm3sbG+oRnonQI5/JYW5vqVGiI+TSU4peKeUoVlq7gGDfb9LKnhp89v3T13k3lwH1hsmpm715v27LzyweI86ZQc+bRDytBvZggyv6KrbAU3IafVtdTdY+rut9xvvnGu9rtthwBG8ovVeA5ImizJ0UiNGlmuRgrdcgBGGoEGnTBbgxcCayR6QDzpUDRuOfbLdYa5zDC3mXpga7xSfW/vtzUblmXIQ4zy0OPhvANzZxbu3F5baXsAGBJkHAFtqyopfG/eScXkfHVwiTqsSImZFYIShWiPNtLw1S6moeEeyDnZ1Nz0gLl67ta32zJmKgvV4iK1KFcjytaKsiKEmW0xEtYhRgqB00urHTI7QvCnYqSELIMzbSactPGpCr6+AqNKlSnZi7YckC1Y2SqT84x7b9HkBd9LqCKB3sTXmwWUKZwsVsYdeyN83bP9hnV3RXq6gYw1iHtXxHvE0LC5moXr3H27urITIS4eiOdzHsNUMiJH+KsYCSY4S4GDHHBUA284rq6CR1fJN+VPnqt7acJUF1f2VvdFXMaOXnhMsrkK1RfxSRuqO4eTlzSbL6rjjowVzEHcIWx2f3nAjC0hcVnoxjI0GQQmiahKGWnWJqUNwxZ17fsKtCO5+XbpNZyzUPDeIfmmUpwqxqliMV0iJEr+CZvkvxkjga+Cv//rr78+adKkCf/Vn/FP/UycODEuLu78+fNPIsA/ZLkzfLGxsfH8+fNXr169cOFCZmamRqMZN27coEHgwf4bP35+fj179uzevXtAQMD8+fMLCgpyc3Nv377tPMQf0uAn7YQ1fneCkX1gsE0QwrRi5NqYz8al3hqbcllElLIYKUy2CEgrsBiQZZqUEnXiybDY1JEhM3r3GRDoH+DbJcDNr5d795cHTpk9UbsFXXZcsdEsgy5erIcO9OWpeISRYBoe9HcZZVHRpbKEtElzN78QOtP7xddcuj3j0jXItWtPl6AXXpysmjiDwFbtU1PmcP1ZAXEBIy6KddXhG7KDVet79HnFy/8ZN/9enn49fXx7du3yjL9vzwDf7gG+3b28erj6vtBt3Nypa05MSzJN15/lbr3CpcuVZNo4+TL3wBddvXt4eAV5+/Z08+nl3XPos69Hjp39N+4HmZiuGtdXi1OsYrJQQeZoEg+Klm4ZxZnl5T/Aw6e3h/czLt49kC69XYJe6zZMNUxOclcfEiYVYIQJhHcCkiwTkGUgzpOolOguqIjLKro4XPePcZoFvQaP8OjxEuI5wONVjSjuDK4r41N2fFNV+OZyUfypN6I3jwyd17ffBB//vp5de7l17YX49kH8howWvo+vPCDTlQqpMkxfEqq3TtPXYKkXpFQFuvbwG7FknzdEiH8PpEsQ4tfbJWCg9wvY89h741f8iFGZ4k250tQ8sd6Ik/k4ZeKBWCGbhOrcGpkdFZodGZodEWaI4Bq1qFGN5UbiJ7Xcn6O5h3XzS/d8dc9ua7xypenGzebbd5j7D5g7d1uuXWcuXGgxl97+5YeilYvPaEVZSp4hAjsTKcgCCaiBlkyOlm/QQtdWLdcQMT1dM+loxKRDyyIzP9tcnZN290pF/Y3z9TcuPLxx6c61i42Xzz0szbvxwzbLu/OzIgUGNZquDjscyd275q3r5vK6G7ce3rx5/+b1+7eu3r919cGNqw3XLjFXL4Jy5eLD69fuXr/O2KsYUr8vLPj0spisL3VFubsvXy25c9PedO0Cc+Uyc/16y+3bD69crausvW80XE5NzJ8pzVNwjss5P82Q3MtLe3j1/P3rlx/euFZ369rDm1frbl5rvHmj+fpV5tpl5sZ15sZN5toN5tpV5kr1w6x9aW/OyIhQFKxZXf3jD3WmfOaqnbl5Baxz9SZz+TpTe64xN71mG5H5ltqgFlhVqkK5er9IemzV6suZZ+7U2Opunq+/ebH+5uW6m1cf3LhWd/NG3Y2b9ddvNF2/zly/wtgL7+34W8mCqN3YtJOLYm4e2X2/qrjuiqXhZm3DrSsNN2/V37zdcPNWw82bTbduNdy40XDlCnOuhsnNKl4ay2Lk8Rn876IjIUYSaxZ/P+fdg+L4NGFKAU9fBDGSFXexsYkMMLJGQlxQU/nKuG/F89aPe0PYtWsvX69uvr493Lv0RfyHePYX9caSxqw8iqaYUH0ZlDmwQS/uEiFVLKKKJIRJCgRyTPyUsumppkn6fA51UrR+hyB6zZBBkwK69ujmH+TlF4R06Y34D0Z64z1CiakrskREDUbUhhK103R2KZE5n/pZHLui14CBrr5Brr6Bbn6Bbr7dPH0DvXyDvHwD3X2DkIDXkP5znp9zEP/bNR5VLSWsEUmFc5NPR2/4Qvn2OwJl1DPPPO/rG+gT0Ms1aLRr/+jnZ+8Z9UHxVNLMoQqBf35imUBn4pClXCJXTJwSrvwwTDP7uZcH+HTt6uHfC/EfiPSR9OR98triXE7iRRFdLdTlSfQlQr0FjDRAiONZPlUlJAs11MnZCd+Ez18zcGwo4tUf6SH04X/5xlq7OPkSRtZy9Ga+3hiekqbZsBOftXrAwNH+Ad29fbu5eAch/i8g3Ucjz0n7KrZOXHuKQ5Ty9cB+y9fbw3RlOJWv2ZSufu8T2Zw3R06d5tktCOka4NI1yNu39wu+/ef2GGQY8nrTi70ARvZqr9Ta0an1YWPTg8amh39ljKwHTq2/CyPLUOBaXYkDz+OKdgyJk7ZWjKzEEk1Kfdmc1KxXefM9/fv6ubl4gdwBrojnc96DVBPm7xRRpRJ9hZSslOnscp0tXGeWEMCXFTqWOASUwCGIKiFRI9adkyRfkCZfkCXXynVl4QlHXgrTIF1c3d2BjxzESC/EO/DZl4f2f3mop6e/O+Lhjbj7Iq6eiBfi3hsJGs99/wBwjgUvBivuEG4Cztn4EzASxCITdgF1FiUvCIgaOW1TxR2ZrFgZ0LM/giB+YITt6zdYFhaXjm0CN1AYVRFKVHB0ZhmdH5v846gpYa0jEm83v7HPhq4av/bQdL15mr46jDonAAkkLQpdOr5sc99hYzx9oXAlsL/4IF2H9uW8J6ctuP48lNiq5AOJ2mIBVdapFeUPxkg20k+DZkUIjip5e2ZIc77aevF8eUNzY2Mzc6eFAYm6GxqYi2dr6cQ0FXZayTmt5mSreZlabFe0NPsfXz14cOk+c7+RaQJTEzcv3fyMLpotyeKPzZZMPR2J754h3v3uorL0I3eZlntAx7WujqlrbHnI3Ll89aftRzR4oYJXpMaMIG+SxKiR5mpkeRAjs4ChT5gbIQJ/ghiZrkEPiCYdmS2sOPLLXZhT5ArAyDtMVWnt1o3FCzVnxFOyw0PTFOjeGcr9SXGWwtw6puWhAyMbmcrikrVzT8snF6oARhaqBWUqUZFS+rNCcXzTlsabN+sAkjbVMfXM/esPju3NfXtBtlZaoJHkaSQGNbBDdoaR+L/NGslqgkmIMhlRKgG9hsXISgFVqtmUs+yjI6KYpYgH6HNIlyE9xi0Tvn9GnmrD6HKUBkELCl1RRNyhESExnm5AxTLQDfFwdUcCh3oPmhk67+M5az/yDujh8Mp28UQ8n3MfpgonckSbamDff7I10omRQPsHdDROsl2QUhWxtXBM5AfPj57o7sE6tXojbmMnLD4uS63E6EKUsGHJF4TEZU3qhciEoxPFc1jWRLr17xeePH1dOj+xFE2yCckqIVUto+0RVM54TVzfIROBazmCeLm4BgwIDX3noPajSlxfjFNFYrpYSBRBF53OJ1867UowbAm4taNUMZ8u5gI3+45KrewY/p9xav3888/bOrWypsghQ4b84x//OHz48IH/6s/+p34OHTpktVrr6+tZR9Yn4dO/uJxlPKedkK00NjZmZmbu27dv69at/fv379evX+/evQMDAz0922QzbX2Ut/vX3d3dxcXlueeek0qlQqHw8OHDFy5cOH/+/MWLF9vq8XRstrMNHf/0W5Z0jpHPIowTI4Mc1si1MZ9NSL01DmBkGYuROFnOJa0C2qRIKZKt28uZk9x74Bt+3fp0cfPwdffy8/b2gGHR3n59A/pOGTB1lWDVYVFirpgqxalSOKFZISQrgOA5iJy0gqQdIAakREwWyOIPT5kZ3+OV130Cenh4eroiiCd4qgB13C7dege9OOmF0BXYmpMSIORzkUeeE5Em6Qf7x/Nm9Ajw9QAiuiCrp6+vv59fYJcugV26dPP1C/DwDXDp0jtgTETIuwemE2VTU8+GpdqFxBnevMTeL7zk5oa4ent4+Hp7+oJ5XU/Ezde/d/eB016VJIW9nytMqeESpvCUQsXGg5Oj1rw8frpfUB9XV09Pry6ePoFenl08Xd1cES9Xv+4+fYcPCJ0fsuwnNLEYapCYcLoIJfOEm8v5+mo0+ZJSfyOKMrwx++2+w4d4d/VA3DwRJBDph0o2nBYSpShpEemLBesPj1au69Z/YtfAAV3cu7m6erh7+/r6+sB3u3fXnmNf4a4JefcYRubz6fzptCV00zmR3oqu3Ds2fG3fkSHu3Z4BPlQ+3m7uQBrbw72HV69JPUbFjlm0Y3rCSZTOE9HFOAi2tPFoG5e2shi58jGnViCxkxPJNUYAbZusCIFRixvVAoOaf1TDOR4/z/r/2HsPqKbSff1/Q+hVwY6994ooKjW995BGFUVsM469dyHJ3glFHWdGp9q7YkVURHpvCb2LBUF6C2X/17ujHs+cOb977r3nzv/cs25WFmSYmOyd7Ld8vuV5Uq+8eVPSjWkq9qFod19/p76vQ9/fPQgE1fu6u9Daysa7V/N2bUyXM5J8SIkyWpqUgkmnUrMkzHQJK0XKSpKSE+TeT/w8Hq6jay9897a4tKmlpbm/p3NgoEPf29nX3z4w0DeI9rV3D5YVtT24VrJnQ4aMmiT2fuRLvr5j47ui0q6mlp6mVn1jS19js77xQ2fD++6mD31tHX3dPX2YuF3bAIp++NAWqboppFf+dvpVbsKbjvoPaEcH2t0/0N/X26Mf6G8f6G9GgU4D2tXWd/dKmpSZJyC+9KHeChK25yZ1NDe0trzvaH3f0fauo+11Z0t9d+vbtg/vmj986Oob7EXRzgG0e2AARXv6qvNjD2wrCDvS9PBRV0VNf09nL9qrR9HO3sGuHtDoNdCPDra3dWvTXp2PzF/vm8sgZfN5N9nch4dOtNW8be/o6kX7+wb1HW2NHa3vu9o/tDe/72ht6mj50N3yAf3QgFbld/wUWbBWep2Of/TNpr7Soq7O9r6+LlSv13e0dwGWbuxobuxq/dDx4X1nU4P+w/u+V5V96S9zv1qTAYpaSQm+1NsB8u9WbzsWBDBy9e5Y1pEUplpHRnRYUSvASDpcSgEXBtg2y+CSwAO3mD4b5sxxsbdzhCBLE6sROMth5lbDbKyGmRqPgoa52rnuIYRlUxAtHS5mY1IxWKkn0MvkKov5QFdSy9Tk0aOzKep45sGfV/BWT5g019bE0gwytja1tLWytrO1MQUVQ6MhB/Io16OuW5PJcJ2H8rWnolKkfLL+uJrI9B5mByqajEGPjL2JzVALGwcr66FWNjamdjaQw2xopK+j/B71VCcJruepdP5hzwP2/EDy8Z25eNaYseMhaKix+XAAnFbjIXMX3JTAEezTrtueU4/nMpWlLEUZQ6kTROT6hMVQ1h2auoI8fNxkYxxkhDOytDQFiSTICRrBsFuhnBKS7HWshAkX8CKLGeoSsqqSjLwhwa+pcLlAleIXdtVn0575zouH2NkBD0JoIeSMLNyUST9eQYEr8GotTZMsj4qlrT8yfvpicxNzMyNzGxsHK/th9rb2VjgLCDfWyIk4zGPv0h0vvBQV7ooqIlxJCc/2CX+8+vBZDxpr1vQpdkNsIVMbyMYBGjLE2sZ8kjEkhqAUJ8fBcZb/YDby3wkjf/lk+FGIdX4DdaM/zEZifVMVLEUlS1HKh/N9kYRhLj6QxTBzrMUK7JzMpg712E84lEoKy6MBdCzjKsp52LJEg4HI2xd2NxUMoKVWTVfVsZVvOGGveeGv+eE1fGUh5/iThaJN1hPHg7UPCOrYQdZzh8xj4/32r2KF4CzHGEHgircES4sxZDIccnAhH3gIoBEppylL6FinOxaD0TF+n4T8mJNkqkrYIAtay1TUsxXVPnCxcP/dySvEJlZ2IBsJtthW9vN8aCfSmdFVBLgUj1R7K6oIYTo+nBmiuO7sSfq05zCBLKZbLfBb8vUNEqwjIFUkuJYJV/NVxb6qtIB9v85fTjK3sDbHmZgaQSD/Yzpi6NJ1EqRIcKqJhLwiIuVkdTEZzqWDoO8flBH+czEyHZPMTgN9EYxYOSvum7WvXjxobn3biw709KNtA2gniqK9XWhxXi1yOEFMSxIRk32I6T7kZCn9YpAg486F/t6mftBXiGW4m17XRxxOFeEzqUuzOZ4ZvrynAaJra+X5j253gVzfYA/a24vqUYBqja03f30ipueISHliKoaRbANGZmJFrZhb40eMTJMwsgN4iVLaQ87K2EBG9ePbPSj6GkXr0T6AkcXZpUe2ZwdwUniemRJKooR+309waefX+WlJPUBfx5CN1KMV+YV7QhP5Hvk+3vlAnpuWJ2FkSVjXJbwHqrCOVzUDAHQHOwb1A10f+vNTyiJPvPDlJYsYmRJ2GoaRf1XU+jEbCRRZ/5yiVgNGcpVaMByUACOBvARSwUS0Ijg5WHXbQxwCmVpBRhamYz1msjWc4zlsNSgcpapqGKoqvkIrO/qU4Hd46Jg5OCNL22Fj7SYvG+729VTZBcGhuJCDv5jZAF8eLB+Jg4wczOZJ+Ip09n8KI1WlNEUpVVnOjayUaVJn0DcMnTjjk3aPCWSyyPXrp9zoKipSQFaVU8LrGcrX4sgavxMPV/GCQMwJDDNHmxWbPffGU45rqWFAWoMB17DhSrEqy2NN5GRnsgEjwVi0XegccoOrLmYgACOZSC5DmYs1e/zrYqTBzHDFihVNTU3/CDz8ez+np6enqwv0I/9PJ/Q+I9znB4YPtqmp6cSJE4cOHdq7d29wcPDcuXMNE/hnz8lP8/lffpuYmHzZVykQCPbv338Qu12/fr2np6e3t9eg92N4r8/v+PnBf+07/T1Gpn0qav0bjNz3BUbysKJWOlxBVJUykUKpOsU98ITTXDcIG2yODhPnL6YsXuo9dszYIaZm2PizMhm+YqHwuPeuGEFkARMBGMmEK5gqTOocLNlYRxasZcI57LDny+QHhk9dbGpkYmcEQkUmONspU2eMHj0S97F4xxIasmQGD8EfzKQCkiznqTJ4u3+bv5w03NLYHILMzM0dx06fvYK10Esy31O8wEs0z4s/3Y030V28SH6MdjSWGFnsdbqOBqfQv4ma6exujoPMbK1sp82Y6LpqsvMynJmZLQSaWIyNzM2cPKcIv2VHVBFUZYLIbOGhCxNcvE2tQbs1BEHDJy+eupw3da7XCAcnHARhBAoZ24+ZQvpm1danoDsA1tKQbCqcRoksxmtqiYpaTlgpZ/svExY52wwxt/xoQWoHjaWIFGkMRS4LLhAo4xcId9lPcsb04U1wkIWZ/bix892WuxPnTJmKzaK21lPpU3wi8Eee0ZAML0Uh6+Qr3vF4F942pxnLLWyGYnOtldOMBaMnzzAxgqwgI1Mjewg3225h4NT1v+CVWXSgrFvOhCvISBkJU2r9m6JWA0bSMmSfTD4k7GwxM92HEish5V9AmjvLG/q7WrAVsLdH3/j6XXV5Vd3rhhY9kLtr6+/v7+5C39Y1Xvw+fa0oWUpLBtqnlAwxEcjLiUFIN1XKSZTT4/yId4Ko9/esbdUV9OnRdj3a1tP3vqmpsrzsVf2b1h59xwDa1ov2dXShb2ubfjmV4c9KEuMfy0mX10lf/HBae+du8Y07lTfu1Fy7WX7tRuG16wX37ldnZHc0NXfq+9tRFLi1drYWRB37MUjYnZvS++F9k773w8CAHkV7WlqaK8sb3tZXNjdWD/Q1AGWtXjQrMTNQmMPFZ8lYcWskud9pcmKupsZczrp3Mfv+T3n3v9fGnNHePZt652LK8+fv2nvbsNqllsH+QX1HU2Hmk2815Q/u9L1729vb34WibYN9zR0d1ZVv6uuae3tRsGHoHxjsbO8vzKwJ35fN8c4QMGLEoieqyPbG7o6+QT2K6ts/aJ/fz31wpeDR1dz7l/MeXMu9f1N7/1bdnYsNF06W7wlNkzHvitl39+zsrn/b2jfQ04uiLR0NWZnau9d1964X3ruufXAz9/aV/FuXK2OuV/76Q1VEeMoaaZqEmi0hpUspcb7yS/7bYH/l3k1XVu96xjqSzVCXk5EyGtZaAnRB4VISUklCyrmqnNXhcZLAvcumzxliagX2v0Pnj3DxHb/Sb56XzHmp5/hhThA0DLJnuh9IIoJmLqDxzgYNlh8dF7nKUr6ilKcq4qhyeUiyBHlADtw5YcJ0HGRiDJk4OEybu5C0bCXVdZXXjJkz7WwdIGgMZOntSIletDfPQ9NEUtf7KO76b9u0fPmkYaDIDmdhPd1pPmOip2S6p3S+h898L9ZMAnssZfNozpnZ32Tj4Vaa0pu98wAAIABJREFUqs5HmRV45DIncMO02VNxoPnNHhpKdJwjnewqme3uM2a6O2Q8wWg0dzrrW49t6QxFDQOp5CO5wRHxQbvhZatccZZ2EOQImY8eOmnOomUuM2dOtrMZirOYCA2hmiyHF21LI5woZCBA6YoM15OQRjJcy4Zz5Yp7om+OLnFzG2Jjbm0w3oNmQIvDFm1Koh8vpMJakiaXp4lfE3XHyyfU1GIYBJkPHbZotqtoLkHi7kVZOm2yraklOFSbVcMYpxfuzHOHG0lIDU+Z5r/vLE8gnjJuGPDdNrLHOa1ycJOOY8ic3ZfRnSw3Q1COI4Q6QejwP1Bq/cNsZPe/fDbyY2/kf1TU+heMJCNAiQiTOPuDolZM+6iCo6zkqsq4qlypKt5+CR+yABL/OAgyAZfi9BH0CKZKR1PmMxSg75wRXsrW1FE0dV7qKpKm/FObYikNLmMgFeTwUqqqmquuZ52oECiqhMoKjqKQdizJe/u5efz1I+fShk+kWI3jOCzfvSTgrPTgbeZaFWTiBEEgwIlhJASZDoUcloKiVqSIjpRR/yOMpIIwD5Ci4ijLOYoajqKOp6iQwYWC3VeHTHeHTHBGH685S4eFUnpYButkLR4uxyO13spqYphOqMoIVVx38aJ82m4YQbiR0HCPxSEXuBGlFKDgBLy5hHCxX3ha6OFrHiSpsbG1uamlhREEVihj++FLN0qREnbEWyJSTVAXkzQ6Clzw52QjgbURSEgyXspZ93w58Qe3dVVp2/WtXehgV/9gx8BgH5BCbdMnPNQd/DpBREwXkdJFxCwfSrKUeSFQlHH3CgoWgp6PGPnhTX3k0US+Vz57lVZAzJbx4v2Et9b46h7HdKEDrehgO6rvRPsGUT3a/aHj9vk4CS1HRPwCIzmZICEJeiM/Y2Q61huZFchLkNEeYBhZ8/h2L4aRdWgf2teGFmWVHdqWE8jNEBFyfRlJUsYDX/6lHV8VpP8OIwsK925M4Hvn+hBzgSAbFUiHS+m3/Xn3ww406HJRdKALRdsH+wd6W9H6spY7F54ECB7QPdLFzCw5J1nK+GOMxGTZ/oSi1k8YqRMAjAS9kVS4nIqUM5S5nKNxoj0/ujB8IRMbyNjWbhbTJfA35rFcurKMhtRSVXUMVS0nvFSqzPU9FuvM3TV6LnUKad08P7Xzlli3A8VSRU7o4UvmNsMMospYws/GYr5UoMxgR9TQQPzoH8pGsoDseDkDqeBpiqXK+LGrpMYWIIuP9UjjIPNFrt88wTBSC2KE4a/oyjppVJXf8XsegiAjnIFgzaBRBLctMQxFKVWBOdHBtTRFOft4KnvnhUUEyV8w0mTaTPEPhAPJDFUuXZ1H0+TSkDw6XIBZEP1B8OUPIzJ/cjbSQCBubm7v37//r+HEv9O/+hK3/v86r3fv3tXX19fW1mZmZh49ehSPx3t5eVGpVCcnpy89Qn73+NM8D9nb2w8fPnzUqFEjRozA4/E3bty4d+9eXFxcSkpKc7OhGwDT+P1vn95f9Ua2taNp8U2uU9ExWH3UcAj9KLEDeiP3rf5heWTrUk0DS4FlI8NL6MpKsqKcdiKDe+judG+Zsbmhfdp0yGSyYNdd0dafV1J8pzhNtjWcldV4+wW8RWu+5UdkM5ACOlzMBC6OlSxlFUtZwdNU0lSlVFURV5XC339x4hKCCc7UFqgRmBiZDBs+nUaW7V5GEg9xGGMFRj0OMhlnOUu0bPNNpqqQo9T6K1MEG06OGzvHDuQ/jXD248a4SonbL9IOPSQffEA9dI928Cb9wFXKvkv0ozEM5CU+qtAtQkfd/dsSd5qd/VBjnK3t9BXTRNu9d5wibjoxft5yOzMrS4PEs9lEk9n+TFCYVyc/ne97+MdhU2djE4oJznHiDPZ28u4bxNBT89xE9g5DbXFgZ4KDINsp+CXBF9mwjqTMpyA5VCSTgJR4qmpJx/K9N1+a5y0b4mBniVU/YS9lC40li5EMUWQR60SqYN+FCYu9jEwtscnNGLIeP2wJ3zVYGXjwLEuy3mHkBMjYCmc/y8rZf8XWK2xNBhPRChAdaX3U+DmLrG1sjI2MIMjWdswqN/Ge5fyNI8ZPtjED8oDG0BDIYo4d/yglIpcJqkgqmJhsJhkp4sA6vy8kdrQSWoEUSOykyRnpMn6qVJAi5WWLWXk+9Gwx5YmUUhpzrnWg6S0KAsH9/ejA64a6J89efH8u/c7DhvoPbf2gzqh3YBDt7eovSCs6vDVjrU+ShJYiJSfLiClAuZ2fIRGkS3hJctZjP/rtzb7JP5/qev+hD0X7egb7q15Vxz56efZ03oM7rW9et/b2NgwMtvb39/e096Y+L9q5PtWf9USCvyOn3Fwrur8h4PG6gISQgOS1fs/W+MVuCb13eH/OvZju5pbuvv7eQbR3EEV7OpJ/ibp0ZBfa8AbV93eAmiUQbe7Iztf9eDbtyvncvIyqzta3QM0DRWuKKg5sKfRj5ctZL8SMx0HimE3BNzf43d0gub+e+3QTOz6U9Xg1+8pXa2J//eXVu8YWFDhId/frO6rL825cSrl9taQor7mvpxEEoXs6OhrqC7IzbtzWPUvWt+p7MKztHxhEW1qazn9fGMxJEhBv89kJp7/t6QEmByDy9armxeHdDzf5x26WPv5a9nCL74Ovgx59tSZ+k2/mZp+MQEaCiHhVzL68b09XczvYHnUOovWN5efOPQldHb9p7dPNIXGbQx5tWB27fnXCppAXIYEvgmQvfbkpwLmElO9DTZbIb8u3Rfkq92+8unrXC9aRXIa6kgxEp4AcMeapXkZAaolItY8qPnh/pOfKlaMtzE0hY8hqiqnrxjlb763Y/5B16Ipg7Y6VLstMrKdAlgSXrbF4uJgCtI7LuCAhaXBWLOEqywSKMh6463wUqWuUD1w8BTZmFmA3bT55zMr1pK8vCnb+7L9NJQtc67xorqWVPWQ0EZoVbB8Q46J4R4t67wfHSNbL5852tAHx3VFWE/yWBP7iduCh54H7lP13mQeusw7dIB14TDyWSwqv9TpSy1MUB4Q/k20Jc1nlam9nA+T3LFxMXOHZQXfJ2++GHjxLo3HAADWeOXTBrumyOGJYHV1TLFHFrT/6A5vHHjcM+yeWLsbTZfPFR+XblWK574JZU+wsrSGjcdAo3wl+t1fsL2BHvWaqa4hwAx7+QIdLxaqn0r2RHkymw1Bb7NwM+40JkPPBRV894yjz2HAOR50SEPnY/8Dp5WQJhBsDmcwa7X7Yfctt0v5rq/epV/uKlk4fb2NiAkHjjKaunxD41EPdzoh+GxCVJg/dO8dppJ0FDjIbDg3zcsArF+9+godj/fcc/YY694gVVDTiE0aONEL/2jfybzGyBzDk/4LeyH6MIX8nsaMHJICib0vQw1uvrQn8jJFaMlKKXcEGleq/aow01LiyVJ8xMkeGPB+6lAtZ2Jlgu1HwmZtOm+LzgzCylA3nshV5PGURNbwED1d5Rb3yOFVLjCxlqgtY6kKmuoiFFHM0ZTRFEUtdydNU0o/m8RU6ISiWK6KE5VNOJFGPPMJ/fZOwLsY19Knr9kzGoYwQdSo3NAoyGg1B5gaMBGBmagc5OhMPPmCpdQAjgamLYWdpKGr9q5ZIKqyjIOBOx7KRHEUNV1ErDC/1V2WLd/02ZMpSCAfhTAxltBYOC8X0sAzmyVpvdSVe84qI1JHCdEJlxgblzWXetM/bC8jICrJZ6Lz6Z1l0JR0sA5UUuJwLl0jC0tceusUUfW1kMsTYBEQ5QR2V0fAxy3dKlGUURQ0RqSCoC8mIlg6sdf5YL+Sfno3MABZMjBdy9i0ZJyHsANrV2In2tKGDHQMD3f0DaJ8ebahruno2d3vQS6BPQ8z2AWKnyVLWb4GS1LvX0cFuTOYX0/1teVcXeewFzyuf51EoIGXLuM/8BNfX+Grj7rejAx/QwRZU327ASH1Lx90LcVJqjoiQJ6akSxnpUla6xJCQ5KYBG0l2qpSVifVGAsOPzxgZQK+OvdWNYeRrtA/Vt6FF2aWHt2UFctOE+Bw5/aWEHiPjXdzxVT7ASGAIiVXO6dGKgry9m54LCJk+5CwJNQUoiZNSJOSHgZyYPZt1j+8M9Hb1oCAYCZKm7Q0DLx8/8Oc/4uBTfGhJAnKqHLRH/u7+Z/ZGfsJIQzbyM0aWMRXZvMOPaetU050JEM4CgkyHzGMTttzihOczgSl2FU1Vw1TWssIqBXClWF1M3/fEe8tlwoGHHsdT3U5U4sMaJEpt6OEr1nYjDRUE2BbL3mKeRPgJI4Gh2d+T2Plc1IrFzmmqSiZcIUS0AarnY5byIAjIKGOJDhPIcrHrN4+50VV0pIisqiAqammqWklUhd/xe16C1aBPE4wfI8h81qqNV9lwJVUB+rHpSC3wujyWKjl6dwUnBIKA7rM5sIcdNxq/Z8WmWzxVLl2TT4jMI0UUUJACBiYmbnB2+nvo+OXf/7HeyP+i4cfZs2cNEjtfiri4u7s3Njb+t8ni3+QF/ptpun/Wp9Dd3V1eXp6QkPDixYuXL1+uW7du6tSpEydOHD9+/O/0eD5P8obv1PDT2NjY0tLS2dl55cqVHh4eAoEgNja2rq6uvLy8vr6+s7Pzv5lxNWAkWJ77ULStA01L+OA67e9g5NnlkW1LNe9ZiiKuoogTXsYKr6KfqKAfSiZ9dW7M4s+dFzams/xF3zYK1cWUDWdWevEcTQHZQDgraNj8cZwDxKPxFGU+KIGDy9hwFUtZxYYr+RFAC4AIlwiU8cItyLhJM80hyM4Yh4McjEd6L/X/kbnvMemrHxeuElqBmQgHmQyF7ObPk0fSD70QK/K2RuXSRUfMTYZi6T0TaMTSsXzYAylfefLt8lNvV52s946uoETp6BHZjMhMamSGlzrX7UQyIeDg2KGgUAIasmQc4+jyQ4nkyELyiXjvEM24mR7GRjbGmBMXNI1POZ5F1dT5n8yR7Yq2d8L8t2ycRnqFuu6N84ysJYTnEr45v8CLbY3VwJlBRqYjliwOOsdG8gnKXAqST0PymZHVDKSGsuPuAkqwraOTNQ7MXeBocUYgCzGWJIDTA89WMw49ZW1QjZ8yHdTxgiOzMZ1CmuMf7X3spSwyVbb/gis9yMJ+LGRkA41aOlMaTjme4BOpFR17sZgaaG1jAcp/IRxkPX8WQ8E+9IK07+4S0ddDxo0zhYyA7bXJODvufrImk6EGNgxMVQkVLqIgOg6s/dI38jNGpsoZaTIgb54uZeeKaQU+pEwx8aGUVP7ofCfa8Q7UsqJoay+akV2ugq/LZHd37K1Pzu1o0XcYFrv+PrTlXev1X3S7Nrz0oSRJyS98SfEyWqKMmybhZYo5qX78uDU+8fDRt0WFnZ0APNGmjsEnT/MP7r7uy449/M37nMTW1oZ3g/3v0f7u/i60sb714o9Zm/yfCT2fi9zihCufcVcmcT0y2O7ZbLdUH8LLUJ/Mk+ENutzB7i7waoMo2tmlf1tX+Dwm5+mDwc4udBDt68FC0+9aP1y4lOgvvxkamHj9t+pXVc0DoEEYba7ruPZ9zc7gHAklnUtI5lFeCOgJAnKSwCuD75onWJbLXpHE9H66eW1Z7P3GhtcdaJ9e34U2vtVd/PH+vm0lCU/Km96+QQfeoPoe9ENfbW7Jb98+3bsz79w5tLF5EBNxAG8zgHY/u/vqSMgLEeEynZj60/d6tB8c7uAAWl6avTYgneedK1iRIXJNEq9M8vFKFpESRV6pcs80mfczH/xvMs6V40e7OgEO97f3oEWlr44dzWaStXxGnoiVI2RmC5jZAnYWn5Mm5CaJOElSVqqMnicmF4noaWK/u7IdJ31VBzdcC94VzzqSw1BXkEA20qDuUURFSvFILQGplKtuSUMDZ04A+22gODmRN8T38qLoxuWnXlGiM3h7T1GEsmHTPCBTt6nyXz2UOiLwJi3hqUrYKmD2zlbpeMoSvqKMq6jiKiqkipwNyqcLnengxYzHQOOFk/yvesHVTCQ/AH60+WgkX8SaNNEJuCEM9YYoP0zdqaNqXq+LfCgMEI4faw/0Fiw8TRdHL9hVsvx0w7KT9e7RtaQIgxhVBS+qmoVUkQ7nS8KTgw9fYYmDJ44dgTM2g6Cp0JSNjqG5i8Ia6RFvt0c/8ZeJwYCDRppMCRktekxQvOJGFaxRXQ7d+tWCGcPBiDOeCI0LteVddj9SEByVvPFAFINGH21vB4jUhuDAOLt8TzErspmsqvVUvvWG33OQ3NXwdZr/msnTx5gZQZZgmjPcxkJL983b+JgPFwrUWWIkfh18jb36mznLyEY2c6AxfuNWp65E3pNOlskjYtbs2usrYMxxHAJO35pqQ/px3v5aZvSbzT/kisTBQw2f/xgOtCx8zlad66l21+/erI66d2JjwNm5DmXjITBdg97IfxOM7O0b6BtADST5pVLrlxh5fU3gX3wjAUZi0tuYP8zfw8gKrqqUp8qWI0+HunAgC5svMHLywqBfhZoCLpzJVWQLYR1LXe56vGBVRKnH6VIinCNQZQuU2XxVHl+ZL1Bp+UqtAC7mK3XsE7k8RQHoBIOBuSdZUcJUV/DU1SL1a5+TbZyIZrGq/KuIbH5IBASNNAJmeSAbCYaTmY0BI5mIlo6UUlXFNKXBGwqIwTJVOvqnulYqrKNiDEkBskslTGUFW1HDU9T4hOtWq1LlO886Tp4HGQMNS0wA5EuMrDJgJDlMJ1JmrFfcdPHGxp7h4jQyhmxnuwb95BsBPI4pcBkJKWWoS3nhOf6H7glXH8JZjoJwgHsxFaJxY5bvEysraKpaElJGBjFgLeYv/9G568td7z9dqdWQjUyVMeJ92bf9BSmR4ehARxfa1wLKOwf6+vrR7i60LF8H70sN4SUJ3HJ98Hk+oJsxScr6dbUsOebmwGCPHrRaYL4ILW+ro4+/EBFz+Z65QlKqlP3Il3c5RJ4fd68NHWgG1pH6DoCRfai+pSPmYpyUmivC50rIwE0YOHyw0zGVnTQpNwWzVM6UsQ3ZSAwjqQ85K58E0Ctib7VhvZHv0T60tw3VfcZIQrac8VLCuCvlXtj+VX56sgEj9YAM+9AKbfa+zU+ExFTMwyNRSksSEZJE+DgZ9dZq4QPkeFdjgx7bp4En6zvQ1OcP/PjPxPRkMe2lgJwGjCt/n5BMBUKyrD9HYufL3ki2qohuyEbCpXw4zzf8uTNto83QcUBqCoKGLmBwDjziqfJpwDkKqyMIr2CFVzHDgQ4hF1ifFdIjyjw1lW7wO7yySaLMX3/4ko3dcIuPuyIcBNlZfsJIuqqSpSrl/EMYWUFTVbHgCh9EG6R8Nt6FDwE/SsNOCwdZLnT95jEvuoqBybTilcB83Ceq1P/EfW/BWqzTCRs8ltPcN10CGBleBUrc4VqqspIbni07/mAFdwNkbGkMQaYgdzncbBxhoTTaV6NlRGg9IvM9owoJoAwP04z9o2rw340jw3/+H0b+s0jsf+/r/K1rSGJi4rlz586cOfPDDz+EhoYamlqNjIxwONyX9GhkZGRsbGz4+8eJH2MxKysrOp2+adOmtWvX7tixIzU11eAI8tnN5D/7Wf0eI1MTPrhOB/uSvypqtUyZuWhf0NnlEX/BSK6ighNewzleyT2csjIQdpzlAo4TbNEsoTkBjO/aqVFvqQfi2Kv3jLADcANuJg4WrmuXbr/PiKhkaqrYcBkXqWTDVRy4ggPMuqq9NVUC5TPG6l1jnJywGcMUgsaZzQoiHcqhwuWUE2ke8gNmQMQACw0ZO02jHyBtfyBT5O48U7CSvvXjfABZQaM8nfzPL41smh3dOe1k59yTrc6Rb9w0lQR1ETVChwlxZVMOxxE4oSPAARvjpsjnh8auVDWsjGhZEV7NhvMX+iihIYuACZDpRHPXUGp4DjuiTnriOT1gl/XwceD9RzsvDPnJHalZoG5fgrwja4q8Q0+OmrjYyGiIsZGj+UTSouCfGHAeXpFPgXUcjU4UUcQ/mrCcv3PMuJmmoHMG7CjA0m9sAoroxtN46syAs5WMg48IfvtGjBprYghpQSPtlq3z2PecAJey1FpxWLxk67eOExaBD9p6wmj8Zs/9caLIXNquyzNd8J9CddZGTowV3zynRLzxjqxzP/TA0V0KWY4EOwKHReOkGoIygwwX0GAtG3SoFlLhAi5ciGHkg1NB3z3x/foLjKSlAVss4DqYIyFkS7wSZV63fIklsee70a4mFAX2NG9b0JjblVvWPyC4xUjFlVdvtVQ3dBsSlegA2tOKZr0sP7YrUUBKlpLjfcnPZJQE8JqsTDErPdAnbuPqjCsXW7t7uvsH0f5etLoavXgxP8TvKn7hrdWs8phfG+tLWtH+JhC07QPa6emJmdtDX/A9M0SrsoWueZzlJVyPUo67lueWF8zMP7apPevZQG9XL3CeQ9H+PvRVde7V39If3frwrq5bDzoVAa919KAFBW8VR1MY3jFC2nPN8dKMlK7+foB3XW/RvGevw7YkcT3yeIQCAS1HyMgTUfOF3qWClRV812IhNT84uOzstx11Wn3Pe5B5baiqv3XpdrD4wXpZ7fNHb9pam1C0Ce1G9fVo+r3k7cE3JWztaQ3a+BYd0HehA0CzfaAbzX/SdWZHnBgfGxJY8vhuBwhKD6B93WhpcWWQXwXb/RXfuVK4UOezWOezQifyzhO65cjdU2VecXLKo50bU65c7OvD8pdtrWhm6of9O+qY+AY++ZWIViuk1gloNUJmhZCj8+FlS/mpoAKLniOhFPjQkyR+N+U7onzhQxuurdn1HCtqNWAksLbCxHu13upSgrogSPUTjbXUyR4b08YToYU7xm3KWHp6cPnJD+ToQt7xy5yNe2a5CiCjRTauexcfyPAC0V4g9s5V5XHAPZ8LtLiKWIoqFhAozgtVPV/ogm1lTabgFu2YvzV3pboTH/FKGJEUrPhOtt7Pdcl0DOTmQYvCRq+OpymKtkbf4wqYdtaWEDQScvSHPO5PP9Cy5NveedHNi6MaV6mbyapWivIVPaKUps6nK5Ll4ff8d2i88NShFmZgNrDBWzN+mqBqnx2Nukf2+cMvAjZucnQaA5mPhOYETwiMI6tqJNG5m1VnAgNJExzBXABZroBcTk7aVuMR1Ss8WbtO8UAeemDOAlfg0WBPchJeXrW3jqhoJMD1nvAbb6ROqE4JVZ1f5IW3sja2wOFGDhk12tZQlDEZcjk6d/0LvqpcpM6Tq59vgs9TRLJRk+cY2c83XXZ80p7mZVGD+Og6VuQL4ZGTGzau95wwEhwAtBiaf3B0aCZdU7fr52IRNxAIFkIzoSUnTaXJrhr9/O/RaadaORGp4QeRO2z3/LFQn6Gidfh/LLHzvyIb+Q9i5G/Be+J9wrMZSi3WG/nRTfhvJXawotZytrKcA5dwVVkyJG6oC/szRoKWW5MJK0Iv8VTZbCSDrcrmwwUcdRFRmUdUZ6448nDhmu9dJOrlUo2LLGqpNNpFetpZHL3YJ2qh5MyykCuMwylcZQEHWJqWs5A6uuoNTVnHROrY6gaO6q2vouRrVap4rRqChuGAUuvfw8gimtLgJvJRkA3QIxDaAXfM7aMQPADi5pUsZS1XUSMO165RJfvt/N5xAqiNAZ394CqxcFgoMRS1eiMVwMEGqSWFFQmVGSGKm0sARmKXOHaVQZZTVwWdC4wuYSoLKEgRQV1M0ZQzFIXSI7HCdeFGlqMgI7A0mYNY57TRyw+KVBUUuJqMlFGB/YmWpygG1jqYg+rvtr//7GwkLQP4RDGe+7LvBPlknFajvS0dwJMDZCMH9H1oVxdamPnsa//HQs9E3oocH68CCTlPQkuUsn4Nkiffvd2P9najvX0GpVYMIxOklByhd5aIlChh3pdzL6/zzY+714F5b3Sh+i6svR/ta22PufRESssREXIk5BQZHQjYSNlpmF5rKpaNTJOysqSsTAlQas0K5L2QUR9wVj4OYJQ+udWEYWQrqgdLoDar9NDWzABOmhCfjWUj70o5F7d/LGrFspGD6GAvWlGYtf+rxyJyspSaJKPHy+iJElKKmPBSRLgvIl/YEvqhthoLNqKYjLEeTX3xyF/wWEhOljP/kCENZbeYH8mfrdTKUhXRQJN9OQ0uFanzg5Qvpi/zwUIo4Aoc5swUnXjKQ/KosBbzHS6lK0pZ4WVsZRlPXcFFKunKciJc6YHUAIxUvZMoszcc/s3WzvELjLT9f2QjmZ+MfQ0MxoC1wKH7o2twJRMuEyGFgcqnTs5sTEfDgJHGkOWC5d885IFsZDERLvdWllPgcnFUif+xe3h+6F8w0nya2+bLbLiCGg6ykTS4jqKoYp/IClQ+8RBtgUxB8Z0ZoGUbyMRpJmN/gFrL0OjcogrdI7XeiJYGA3uDf/Fs5P/1Rv5nOeqf/vwvs6Cfy2s/5wy7urr0er1BASg3N1cqlfL5fJFI5O3t7ejoaJjg/8Of5ubmFhYW9vb2ISEh17DbTz/9lJub+3Fn+Z85pb/FyGZDNvJLjBxtlTpjyYGgc64RbS5qkI3kKIq5ikpueLUgrEJ8LHmJYK/NuOngsEEDjzE0X0o/00g61UhXFYi2aYY7YtwH/jcOmuczd8N1zsnX7Mg6DCMr2HAFBy5nKIpJEa+8I+s4YU+9JJsdRwzHvGaNIWic+cL1dLiceqqBHFHqEaI0Njf9tBaOHO++1XPTLR9F1oaTqfNIawyhJQiyhUasmhb0M/5kvUt0w6KT75eder8q6g0+oo6qqWJoKtjqYp4ig73j2ioPAZaLNLNcsBm/N5sCvycgH/DIO9lPHyhHEqYyD4xf5j/aNWRawA9MuEgYUSPeH7OKEWju4ATOc8wKr10x5Iha95Pt7qeaaGdqBWEvvWWqCQv9xiwImMVVeOx+TIN1eEzMVhah8zl4z4X11Zhx86yMTa0haLiZjQ3OcCKmYIs8jsZTZwSdq2AeuL9KtN3GfgQWIwMU7ei9jw7EG6sZcJlIkbk+/MGYGR7go7QcNXIpNwJvAAAgAElEQVRlsNu+p8LoTPeNmomzFpkbuBRyhCYJKOH5xOi3hG+bqKcqXLZdmUbcOH4+ayppp8vX94Dol6aAhuSxkVwGnEeH83lfYGSs79eFn4pa0+WUDBktQ0rOlBKypF5pMvc4X8+LAYTiuMt6UPsDNGPQ+jfoxXN16yRp5OVPBfT0sLBXGbmA1IBbcj/a24qW55ec2POST0iVkBPklHgZOVFOz5Qys8SMZH9RTOjqzAcP3g2iPeggqm9BdbkD339bECB8RFlyS0Z8HrG/Mi+xC9W3ogM9gP/0aFFe9v5vEnieeT5ehSLPEo5HNYdQxCWkCAkJW3xLb36nb69vB0LrWP1bRzOamXBlS0jsbz90dn1oGuhqQ3sHB7rRlrdo4uPaPevz+Z4vxOTHO9e/vPRrR1cXiEH3vkfr814h25+yVmSwPLL55HQRPU1IyRAS8oXueUK3JH9J5gn1u8z0bn0DEJvvfYUWJyVvCbpAWhIfwsv7LvJ9SXnvYH/PYCv6TotePR0roZxnehZ8H4E2v0b7O3tQfR/ag/a970++/C4s4K6PV7Za2VCY0w5UAvvRrja0WKddHZDH8SzmuxQIl2SKnbN8VmULvTMFq7KkqxKlHo/9aRkRR6uT4j+O8tamwaSnNXu+1rK8y/nEYhFFJyAV8Yk6AUkrpBSImdkSdoaUlSplAK1dCf2pzO+y3w6NH3xwowEjsxjqchIoai3F1lktBcn31hQQNGkhqlNuy0fbm0DA9s5kodky5YJtZZ4RA15IA1tTKIYfCPdEOnvKjaHp0ATZrG3xHsB+ppClyuOqcriqXMxyL5+lKqSrymiqcr4yIxh5NGcZ5m1uMnPIyrDlu8q9NH3emjesqFSp6pz/7s0kj0VDwCwxHRq/Yxj3EjcsZU/0dSYVbwYqocZCI4Mg0r0lh99RTzd6R9d6RdVQ1O9ZcCsj4h0xsogYmcGOTvBVXpJs2OWyxAXL5NtB4wMnhD6cH/XKObrVW9PCh5MDTpxx9d/o6MIazQtfvD2RotBJ1UnrDx9hUCeMAPRnDdnRrBgXVyqbqd92cTRVQUjKOsVdxgZkpOvaIW4HFm9N9z7SQFB8IGreeSMVZCRXrnkScvT7CQuWQ+Y21g6jFrh4LpqFzYTQTMhFPWddhgB5y1UVSJC4rdEXSHyemZ0jZDPLkfrt3OP6VRF6MlzKjM5gqm5s3LGXOGUUOHtoBjR541D/pxRV5c6fS9nsYDB7mnhCXg9HbKnwjn7r/F3D7DOvmBHpYSeuJW7clT99vH6k+T8osfMvjZGYD4m+t8+AkQO/640cAMInn4tab6wJPG/ASKZSS4VLaaBBopypKsOMpIBv5Jd34MqoLGeCJl2AkY5fZCONQRfCeM8N17mqPLo6hwrnMFTZTEWmWJ3NPnhvNm+33TR3y2EzrUfMthoxx3LEXKsR8yyGzbZwnG0y3MVqCndZ8E+Mo6kcRSFXVcZX17NVb2nhVUykkqOuZx6rlBzJ3aFJk6xRQZADhmSfMNLUGnJ0Jh24z/qYjSyif8JIOlxIhguJSAEFKHPks1X5XFUeT5nHVeZj47OSoaxlKWpE4bpgVZrv9p/GTHMFre8fA7UWQxaKmeFZnFO1BFUZHqnBIzUERREHzgxS3lxMYAAvy483c8h2/sqgH/0itWwgAllIUOvIEeU0lU58NI4XqoTMhxmq+MwgawiaNWzFIT5cTlJVkZFSOgyMU3mKYs6fh5E0DCM5d4LEWWci0faG9sGONnQAVJyA6bQHzc+8Hyx6KPBKFLlnib3yZORcGe2FhPlbgDzrbszgoL4baJ2B2g20+W1lxNEECSVH4JUtIiWKmfd92FeD5NrH97tAY+RgF9rbAboeetC+1taYK7FSVraIliWhJ8qZiXJmkoyFkSQoZ02RMdKl9BwpI0vCSJfQswJ58TJ6DMfjfiBXF3f3PYaRHaDHshXVZpYe/CYrkJ0u8sqSkpLElHti1oUt64rSX/aioIe+BxxbO1qZk71v4xMhKQV7u6dyZoKMmiwhJovwT4WkixuDG6ore8EaaFh4+9GU+Pv+vMdi2ks5M1nOSMZgO0XG+PKeKvvzlFoN0QQ2FkpkAowsoQAJ5WKhOi8QfjFzhQAEzbEL1WEJQxj2FIhkRBZTkCIqDIqj6GFFXKSMrwFyiwxlOUVV6a2q8oDf4OHXYmXG+sO/2tg5Wn4sQMVBkL35fImhN/J3Sq3Mj34/JZjAMujTMISWmKoSmqqMDJdRkCKWJkcOP5rgyjIzM8FqULGtq/XcZdvucU5VUzVlJLicrCxjKktlmuIQxROKcDPQXwVjxxSyd16x+ToLrqAoKuiqCipSSwqvZB7LCIaf4SVbITNrYwiyBlXmJpCR7WTqNxJlDl2t84jUeUYUEZAiGgwGzr8IRv7www9/q9fyf72R/xmA+p967pcYaXiPwcHBz4A3MDBgeMLg4KBery8uLi4oKNBqtXfu3JFIJHOx24IFCywtsRj0p0nf8NuQn/zyb8OHD587d+6cOXPGjx8fEhKSkZGh1Wp/1x/7txnRL8/8LxipR9HWDjQ1oeWPMdL5YNCPKzTtLupGgJHhJZzwKm54hSi8SHY4do73ahvH0ZgBMsaKC+W0Mw34U820iCrx3h8dh1t/Xr2gGdRJktMMkFurZMMlHLiUDZdx4FJ6uI6iqSFH1rAOP5xHkFnb2mJFOkDFxsJlPTOqmnj6HTGqjLD5pLnNUKDZCD6FkXazJHPl34mQ9HWnEqZ5+kCQEbZ9tICGzJ3N3UXcddlt17WVe26v3PfU7UAmU/OKHdnA0tTxNSW+ymT62si5c1diiQOczcLVjO33OLvjKFvvkbbd4RyLIx+8R9h9i3HgIeVgPD0slwNXiDVV3K0XZy6jmzqMh3C2ppPceQdvsI7EEvY98tp/n3DoHufIA/auW5St9xgHU9nheUxYS1WVE8MqecryIGUWM+D4yGFj7SBjTKvEZO4cj3FO0wwRZAgaDnoj4ZR158ooWy8vIAZaWNiYgVkLBzCSdJShLqZH1LLU1SJYtzkiafxc0ORiZulgM5M5f9NN31OprvJdI5wmYuduDOFGm8wR+CCJ3nseEfbHUQ7HU448pe69z9rzgH8sjRVWyFIXMSIK6HAWB8lmAnfcfL7qL9nITxiJx5RayRkyaoaUlCHFZ0o9U2UeT3zx5/0pRU9v9qGDPYaq0bLSnpOKchlDx3RL4lPvrwsuuv+wb2CwBbBcPzrQgb6pKEEOxgsIqRJKopz2UkpNltGzZYwsMe2lr+DmmoD8Z/HvAUYOoL2NaObzZsWBXAk1je92T0r8dbM8Pz6mCwR0+wFGDvSiVSXFigOJfHyBD7HIh1TFJ9fyqVkC6qMgwWNkf01p+ofBjvco2oIODvb3oFXagUvf3VwrSb32c2f3+8bBtha0daCvCW0s09/9WbeOVyLxSpfibwUwrocdaGlu6QcJz1b0Q0VNxO6nPLc0tlu6iJQkYyZKgFtJuoSUKCE92LS+4HZsa1NzD2hSaUfrsjse/JLoT3/EcnnhT47bFKT78aemvOzWkuz2x9ebDm65z/A4zydl/Bg10PZ2cLCnH9UD1fbmqo4LyvRAj2sSUtbPPzVVlPUBwb4+tLMNLS/NO3wg45uQvK1BOduDMrYGZX4VlLFWliTCZ4pXvZS6xfgR0k8erc14+XEUtzUPZCaVRqlSvwrN27qxcMdXhVtD8zYFZK/hZfiS0sXeaULvdB9KGrAWoyXLaI98/c7770D84QMbr68BRa1ZDHUpGSmmgyBpEVNZRIV13pp8gjohJEy9eJYVFgGyhYxXDHH/1vPAGzLcQwx/zVbk+yDPJEd/8yAH2xpPgYZSJqy7667SURCgtMxR5bNVBcDnBsumkOFiCqzlwC8C1NenudJBSNpy+TjaWY+Dr7zVPZ7q1/TITBF8KfDoYRp1JVYdMBGyXTOCHCUJv7dHfZbotQIrTx1pNN7Hmnxyxcbb/B3XmNsvErZfc9/y2H1Hlnd4uWdUCeFkDu/0i9XKX/ny4EUzZ1mBilYnaPZO992xtOP3qYceEXc98tp5lXTkIkN5x/PQbXJ4GlVRwFJlilUxgTtCVy41swdljlOgoYxJ0m8FmgzOiWf4rZep2y7xjz7ihCV4HEhacSjPS1Htraz3VL4hwK8pykw+HLMavkAN2mYzcan5mCWTljPJvutXrVoKJifj2ZBL9Iy1uTxNC0ORy1fc2Yj8sIJExlkMw9k7TxH8ulzVS4xoBzWMJ/Mpmqcb9ivo8yZagzjcFGik2Jxz0TOsYOPPRStZoJwKssSb0u4u3JHCPRHjeuj87H0/E3b+tG3T989CVZXLqQPjHP+NMFKv7we1BKCc1XA3iAD8NUZe/4yRhmwkDf7oPvxFIqL4i8dldGUZValjwVlSJG7Ech5kbmOQ2AEqTLhJ3hvucFRFZLUOj+RT4Gwhku0fnoSXIyMmeeJw5ob1xhhbdYyxWB0YFUYWkOmkEas2um+J4ZzIFyjLBKoanqqGrShlK3R8pIZxpFR0KGNHRKp4jQKCgJe6IRsJOhlMrCEHZ/K+ewAj4RKqqoihLGIDKgORGKK6wEuTT1LnMWHAkAJljlCRLQzP4Sm1TFU5HTSSVQsUxUGqbNm2S3OW+QC/KfCaRqBYdoGQEZ7Jja4lKUsJwDeyyhsuYaiz/JQ3F3kzwdPAzQgyGmU2ieUWek2gzOWoCylIIRHRUTRlNJXW52gsLzQcMgcBVtA3imGk7cqDLKSciFSSkVKDKxcbuPD9sVLIPzsbSc0AXsOM577cu6ul2d9Foy1vu/rbOsFqgKJ9A0AYLT8zJlgc58tI8aVkSAnZclKmlPLch37eV1pw+x7a290L9FdB7z3a/LZMfeSFDzGXtypf6J3mQ4sVsm8FBpTGPu4GK9ZAG9rTgnb2oO1oT2NLzLXHEl6WiJUpYb+Us1/KWUkyZqqUmSFhpktpaWBppORIaVkSapqEmhXIjZfSb3O87wSJCp/ef4+iQDxgsBdgZHFuTdju3GB2ltgrR+qdIibfFzPPb15TlvGyDyxsaA9QAGpCq9Jz94U+ExDTxYxkOeupLzsxgJUkI8dzPR9xCRc2rXlXU9mBBWhR0Ejfj2YkxATwY2WMeBkjUUpNkVFTZEBU/ct7KmYXmSqh/gkSO58xkq3SYhhZTEFKKIhOEJkfFJU4YyUb7A2xbZ39QibvxFN+VCEjspiM6ChwEVVVRFPosG7bIhYIqRQxwbgowyOvvJFXPqqMdUd+tcaykRjLAYw0m/9ZqbUKRJHgMmy8lzLAGCnH3E1LMYYsYygrGcoKhqqMCoq3i/GaQmJkhkh9byHLd+QoR+uPldsQZD3dZcdN7nfV1MgqKlzFVJTzwktlioKtES+ZPl+bY12UEDTEdKbPym8eMFTlZEUZBS4nIzUUZTVXkbta+dRL9JWxuSUOFLViGRUTqwmsrQJVNl2tw2uKCJpiCgBmMHD+dTDSxFDc93FmAL/+DyO/BKR/hcefa037+/sHBwcNOckvf34+yIaGhmfPnl24cOHq1as3btzw9PS0t7e3trb+Ur7VzMzMUAT75R8N3z8Ohxs1ahSHw/H397948eKbN2+asFtbW1tPT4+h8PXze335wICRYKX+f2GkdeqMpQcDf1qp6VimbmIpSjjhZRhGloiVOZI9V0bN8LC2sLL5KBdnbbQomHqm0ft0Gy2yTrT3gr2DwyfwgyDH+UO9tjEVuRxNGRsuYoOOrGI2DMrhyOE6fnQle89N+0krjHE4rMsR5AcsXUO4Z14Routo0cWsrT/a2I0zMTSYGA2HrF2GeO+URCatjXww3oVoYgTZgoXPCDJzcJgwd+y8VU7z3cYu8HJaKptIPELalcKG65nqV8KIktWq50Tx9rHjphjypBZTPJezNi9yl06e6zVxrsf4JcTRzuyJtB0eOx6ww7Uida2Ppj7gVC055FuHCUtwQ8bh7MY6znGjBO+b7e0zfiF+7EK80yLSOBfeBPe180POc6JqmRG1NFUZXVXDCKuSK4oEmy8vd+UMN4KGginL2MhiLD0ofLG7EPvurCDIARpHkikSN50rdQ2IGj59lSUOZ/dxcnMaSjlORYqYUXWsiDo+XLw+InnMHJDSMTa1hKxmjhWfDD2VMN+Db2llB2ZonBlkM9bemUbfGDZhGX/8Qtr4xaKxy4On8FTEwykcZbEQqRBElrEjChiqTA6SzYBzGXABX6X1O5q1fQsoan3s+3WBhJYvBRiZJieny6npUnK6jJglxWdICc/llMt+rOK4+6BHA2QH9WhGSu3OTTo+qYxHShMxr8lEhTdv9Pf3t4JFuQ+kJJvrS6OOPRMRU6SUJDk9EYuZZknpWWJasr8wZm1gdVJqD1gUUbT3Q1/8reKt/qC9RYx/KCGfCeDmPr3bjWFkLzoIilrfVJbBBxP5xDwhuVBELRdQS/iUJ0Lak4PbEu9dqetsfIP2NYN1uR9tedUfe7Nxz6YbMlbh/ct6fWMb2t6DNqMDjWhjcdP3x9IlXjrhqmyp222J29VDW9tbW3uBJnwn2lZfpdn3VOCRJfRKk1Je+DITQCSa8ULGjFvtkxCheVNW1903ODgwiHY29zy/Xbg/NFVOSJF4vZQTn8tZietWJ+7fnRB+THtkn3b96gcy3qUNAck3fu3uadYP9IA9T0czmpPYGL7tBdvlvJSefONq6+u3WNHVANrTjTa9e5+e8C75eWPqy/cpiQ3xiQ33H9Wd+z51vTzHl/hS5n5N6pb+3fGGktxBbMgO9vQMvK37kJ9Tn5jUkJzyIS21OelFY+ztN7/CxYeCXvq6xXOWJvO90sTMNAk9QUJ94Ov7W8AO2B/Zv/FGMJDYyWJqdFjmo4CnKmIqSmmqCry60Fv1JPhw2PyJ2KINjYOMvYaTztEVTWRlMymsjhlWIIQTfRW3OaJvnCynQaZL7Xx+dlcWU+ASGpDOAmslFowGdjIEuIikyuYgD/yQn8cupYPc+xDaJP5FsqrBE2n2QuoZmjwREhNwIpLC9B4D3nAchBOP9jokP3Zue7jSw20xNkxsLaeRhq0ImuIimDt31cy5q8bNxQ+fLRjuunts0PVlcDH5tE4QHb9B+QuTxZs+epQDqC2aZDR/t9/huxy/zS543oRF9OEL+CNIu6auv0aNrBSdbWJFlLGQBBHym/wr3wVTIUtTGwhaCg31Wuq302f3iQUU5ui5q0bNozq5fz1B9uuK/YUUTSMh4rV3ZJVbeDkrol6meRasPOmzbd/IWaugEStGrdrkvlbB33F0qfsScMAmMyCXqIlrcxgRbXQkS4BcCQmLnuvsZoQba2LrtdD3mpemhRr5nqPUMU8W0aJSNhyNZK+YPQJQzUTIggh5a1aeSA06nzuXtwa8mu3ikexI/IbTRGmwk4fbEOdlTvNXrZhFPjabkzWL1D92zL8PRur1esMCibWygYY2ww2IZ/4lG/lXGElGgCYkU1XOAjLBf8A2YAepLCMrdUwMI0e58iEzEKgDCwnAyKkeofdYinIiUu4J60jqPHFkfrAi2ZVxwM5xiYkR2Poa7gaGNDwG3wpuNG4Gf+XGa7ywfJGyTKAs5yvL+AodPyxfCFcyjpYID6VtjUgShYRBRvaGbAYWRMQwcugS8t57bFCzWkxR6hhKHQe0RxowstBLU0hU62hgIOlYykK2MperyOGoCtmqUiZcwVKW8xVFAXCebNft5ZSvLB2xZn1TcHSmc9j4w0lMdRVVUUVU1ngqKvBICSsyxy/89vyVTMPmFpy31XyHZV8TdyWIIsqp4aC2EOzm1aV0ZaHP0Uf80OOQOagLMAV3S8hoprn7QaqmHI9hJFMFzJ0NiP6Hn/b/BEaC3kg5795qed6Zk2hLg76/vRsUqGB5uYFeVJdzJ0T+2I+dIKekSQmZMkKGlPTch3pJJim8cgdtae8HLfEDg2g/2tnYcP5k5hpmNnuxTrgyS4iPE7FT9x96m57RjQ62gvbI3lZgMtmGtrxqvnn+iYSLYSQrUcZKkjNTpPQsCT1PDDoEsqTkDAkxS0bOlJJTJaSsQNYLKfUWx/vmanHB05gmdPC9ASN72tHa0pZz6oL1wlTuikIpIU1CfewrfHziYI02ewAjwl6AkY1oVWrevnXxAkKWDyNNxomXs1ODuC8lpFiOR6yMfWnbpnd11W0gRIoOYpreaHZiTKDgsYT+QsZIltNSZBSMJA08+fFnqoyaJqOmSv9MjCxig/5ekHajIMUURMuNzJcizye7guA3lg7H2S/gsI8940QUUiN0RAT4TZFVWqpSS1dqmUotR6XlqAqwSKSOiNR4Ia9ESObaI79Z2w2z+LgrAhhp+hkjVdU0VRUDOMeWAHF8gIvlVLiSBlcwVBVMZRVLUcNUVDFVFXRVGRUp9o4o9IrK5GgeugdtmzprmoMxqBEAN6vxS776mXmymKypIodXMY9XCMLKpMdzvlLEUtghQJADlI1PcsTv9dybSFOWEZVlJBBbqabAVSKkcC383EuwydTCwsQIO00jCLJyHMffw0VyaeoikrqYrC6hwSBH+oej5u/98X+0N/KHH374P4z8tML86/425B6/hMm/d6zd3d2dnZ3d3d2GXOUvv/yyfv16uVw+eTK2RmCXucEpFIvp4Iyxm6GdEofdDGxpYWHBZrMVCsWZM2dOnjx5/fr17u5uA8T+4Vv/Q9nIMQaM/HmlpnOZ+gMbYGQFJ7yaq9BJ4TSfHWctHQCPOWLrDgTZmywOoX7b4H2qhR5RK9x10X7IyE+FAxBkPNJ0vi8nPIMXUcJEihhIMV0FfjJhLS0sz/9UMeebX4ztpn0sRAdJTDPLlWt5P7wmRFWzorS8bb/Y2U4GKz/4QIZC0AyTJUES+InfsV9HzXW2NDEairWfYJW1YBE0waYdC5MhliOWTyUddN30iB5WLD9ds0YR606V2w3FauggyNhuzKgJsxzth1lizzcyNoKMLSCHecPcty1afZ1+WCvW1ASfLvOUKayGTjcyG4qzcRwxaeq0hQtNLIGgBpZrNQbhaYvRpovl01ZfdNmVRDpRzEFqxKpSyd5HLvj1E0dOHgZe3ARnM2Gks7/kWNxi+gZwEkaWGEbSfBQpG34sW+gTZjVymg0GnNgWfow9NYyMFDGia1mRtTyldr3m5ajZQM3IBMjpOI5kHN4acX/WDGeckSlkZApkHKzth0yfPXPZKhMLO0zAx8oYNxxycnfiHnPdco8XrhNFlXOiCmmqTCaSTYNzaXCBQKUNOJq1Y8uDk0HfPfL9Ok9Ky8eUWlN9KalyeqoMkGS2hJQtIb+U0m/48sriYvVAo3UQ7elA4x9mB4q0PFK5gJr2/7H3HlBRne3e9waGXlWk2ntvoCK9Te+90RVR7DVqLCgKzN57ZkDUxMRETUw39i6iSO+9TaHYuyC97nfde4hPnjzJed9vfec85/vOm1msWTjCsBlm7/v+Xdf/+v8lrB+l/JoLP2GDfb1g2GMQhCu3vcAxMjRfSs6TU3NBCiWjREovkdAKokQ3Vse8zCsceWf2t/dm/lIYxygTB1RKSTeltM8j+ZWZ17pBgRgUbYFB3avmRnhfNp9YLqBUCmmVfEouJ+QHPiX/1LHGusoXwwMvMax7eAiIk7SFXV8gtWL691xi7e1f+wbedWHdoEs69AZ7p2lK3pQt8KngryiXet2ULLt4cHNnZ0cPWKB7sM4XevX+DH5guTikUErJlDOy5KxsOedWuPD65vUNdzI6e/rBVOLAIKZvfHfm2H05tUAUWCAJyZGRi6S0EgnjkoD1TURYQeLBx6dOVp/5IueXb8pLc9sHunoGerGuLqy16f3pz5rWR+QzfM+GsbJvX+nq7Bk2kPTAIDbQjQ28xYZ6ACXiw5L9b7u66+uffXOyaWv0bYH/OUlg/ldo+7PmnqHhDgzrHxwG3zIIPHqAa+4QNtw/gHW8xVpLO25+Vn8w4p5wWZ4oqEjMLJTQHkooOEZ+gkSp9q6/gFvsFDLVVRRVGQOt4iH1LKDTaQ1RVgbD12L3H1k0zjDmNwcyoTjSvmaqXhLhZ6SUFkZynRAtjERuCOU7JtlMgozmW/K+9APF2WYqqqehWgqqIaEaolIXqtSFovVkpJSvvByJnnT2YELQbGg0f5LoW7rqSTDyjATmyOrEyN2opC8pbKqbNQT0q0b8cf7bIw8pd6ckBPrMw3fvlhaOsyzdFpnbuBj8I4HUFiRkeBov2z5rbyHleL08PWsT/DWDTne3s7Y1sYQgN5NJUrZ874JZc+3trMHZATlBo0jGi/aNC7u1PFFPOd5CS7svUp0Ki4+e6WBiAzkYmSwxsl84N4TqQw+0Mth1QeaQ5Xxo2spR9FNzthYHIM2kdF0wXCc82hCH/BC3a+PiUDJkNdt6YdycmO/pB36WJigW+c4H5zVhOuSV6hpXGnq0jZJaIE49uy45be6CAAiaYWzF9oy+FJT2hJL6hK1oYKVraOmFq4+k0wIWjAbp3JMhQgDkn+ST/CDqh8JZgijwbDau7t4CD7Jo6ty5kDWexgs0DOYyaFSW+4LB8c7/czCyb2AEI/9lufpzjKTDtSQ88IMBRK1/xEg2XvunIzpgvQjXMZRlcmWGixcfMrMzjJKbgtnImd5xV+nJeiLaHIxqyao6vromWlXmH3ncbZHUfuIiW/fJdu5T7Nyn2blPt3OfYec+09Z9ls34ebaTAh1WrCXtvM5PrhIotHxEw4PrBIoaUUq1WNlET2zgJ+RvPZotiDsCGdsZ4d1IK4M0zsQGsl9C3nOVAzTfACPpcB0bAR8Gfx0y2oBnMTUT0WYiqieBhn4NTVnHQBtZuPqcB9eGKSvDD94hyRPdJs8DK5ARkAwSZlO9d9+lKJsp6DMi+iIgpZms0nLVpZEJvy5ZzsZXTbzL6EacwFITE8p5Rx9RFWBei4rW05QaBlwtSbzOW3MIAouHASPNIeOZJoEHSKm6IODprGHjGEkHWtg4gRcAACAASURBVME/3xD/F2FkVhj3Zkx49WfHsbbXAyABCoyTD4L6Yw+mrbi2JfZWFO++lJwvDS2RAYzMElN/DZPVfPML9voDNgyCI/tBJfLDQN7l50lxJay5jQLPcp7vHSnn2Y+/dOqbu4eHPgDf7f7u4R5sqAN7qe/6+atMCb1MRCmVgsSqfDmtSEqrkNBrxLRqCaVcSiqWhhbJiYVhofmykLJoeq6MfIkb+GusqDrz0nsw0I/1DA2Awcx3zwfv/NL86eosmmc5zz9XTLsXv7r65x9fPHlk6LcPgN+iHWspKd+7JlMQWiZmlMjYuXJ2gZyRIw69J6FmxEdeSNz7+tnjD2CQAhsCGNmHleVcj+LfldKzgbMODWfIP5LkfwdGgm4bE2kAb2xAknVsdYVQkTGXJDVEckOQicN8HvNgBltdTVHXE1V1JGUdGa2lwDUMFEwIc5BqLlLJhSvZSA1J2RKkfCJQlsYe+s7qnzGSsEAqQIo5qa1UpJWGtDDQFgaipQN9ewNlZCyzGW/dP2IrHrHhZg6sZ8NaNr4g+SsrWOos8lbVfG9/RwuDWhWCLFzmr0ylpJSSkJbgI63kxGZusk6WVLpq3y8hlAiQOAVB5u6+MyK+DkwopeIYSVTpQ8G51iRWVq9VPggRbDA1BT6HYKrYBIKcZ06RJXNUNTRVI0XVSFWBY2P82TjxXzHkf3Xgx98Y+S+rzP93HzBg5H98fIZe5Ufee/nypUajqays3Lp1q4eHx6JFixYsWODm5ga2FKCmAyx5CASCiQngyT8UFJycnCZNmjR79uzp06f7+voWFha2t7f/1U//B0YC182/ELW62eDdyDM+6h4v1XuOopELMLKVo6iTovminSctHSbgE34gWAKCbCwWr2R89pR4/A0ztUn0yblRo1zMgdGh4eZEmCtjJxVy1Y10ZQNV2UhFG2ggh62WC1euTCvjrj9hYjX+NyE6jpHecdwvXhDTWjlpNbytX9vbTjJ47AGfGqPpFosjw5Hbor1f2M9YRCAQrA2NSmNz21FjJruPG+dg7whmnSFTU3tzl6XuwTuXr78alt4cD99Z5ks1AXsI/GZMMDW3HTPGZbK7+3hHezODaJZgYzR6kb1H/MLon7hJpfEna/0E+ywtx4OfYGRsZWNhaW1mZW05doyjk4ODDYgpx+l19FSz2dyJgjTi3ny5qjYy+UGQ5FOX8XMtCeagnmU5yXbJSr9Nl8JSa6YGrcLXfnOwu53IZqMlcWe0CyQHLUe72EKQwwiTu9tSFSRlI+NoKyutWYBUrlPfc5sLZiMtQAnNzpW8Yxf840y3ScCqz9jSYMhqamNlbW/n6ORuY+OAg7SxkfkowqTF4yk7gnfc5ShraepKsrKUqiqjKMtpykoBUhNzqHTn5hvpK0/ejAAYWYljZH44NS8crFBFwGKHUiGl5sqYF8ME+owMkHA4NID1v8ceXCmN5tXyQnUCSr6EcU7Oqbr4PTbYPQSMZIZB8+39c13a4YfCkGIJsUAOjHby5SAJrFhCz48U3VgV9SYnb+TNOdDZm3UhdyW5SOBbIaHckrNORosq713vwjFyxOf8pV6DHMjlkyqElHIRNV9EuSUk/xgrq7p8/s3r1+/x+I2BoQGs+1Vv5k8vD2yoYAadYYWU3rnUMdDxAesHoqWBt9h7XcP+uNsMj3KpX6V8xT2Rx9WEjR2d7V0gabYP63ilUx/M5IdUikglYtpDKStHys0NF1+PXXkjKeW5pqXToObt6Rp4eOfRkd1Z/NAiQUiBiJwjolRKSLXi4Awh5eeYCP0vP/Y/ae18/uT16+ev2t+2Dw30DwwCvVRdVX3SvqpIfgk7+PtITsmDqwND+JTpIAbsKfvbXj8ue/VC397T+W4Iax/G2gawzq5OTF/X+YU6I5J7LoyZdyqt+9XT7v7BLoCR/QMfXnS+bG172vr27dsPA4Pdw9jgID7k+bio+85XFTukheHUcimrRELJkVBuhkWci9yFRKZ+uv7iyl33WIk5THUZRVXKQKt5iJalaGYgTaHK4hDk/Nr9hz1dR+PnkwdkxhjN+pqR9pSINBNTtLTkGgFaHAHf5Es2T7J2gYznWglP+yMtFPQRBW2honqSUhOq1ISqtKFKHRHMpFSI0UsrkePOnjwIWgyNFk4Sf8VUaskwWOj5qEaqeBBz5DSNwxwPuHUcZMwd77c5+hC6KznBb/kcoBICFRg3yHamldPsUe7TXMZNdHF1NTO3gkxGQy7M0VHnQ5Cy6BMPt8CnmEzKGCuClbEJwWiUieWcCVN87ewnWjmPtx43xcFtvqWDD2RNhCbtsJdeWqSoCUq7F3H8XFTsphkm9mMhO3OTcUZW423dpzvNmOrg5uQ6ztXB3saU4AhZLoLGS60D0SW7CqlIA0tZJoRvRu8+xOWF2IydBFn7jRN+5ZdYIUCuRx86vMRnNrgUmE2DvGHHtYX+x96S0rKk6pObktSLF5IgaL6RtWTxqiu+6VpwTVM0sdJ1lKN5MYfV5KAFDuZWYDTULBjyPeyTdCf25+x5XCmwljUztXQeZzdxjsOEBbbuMxzcp7o5u801NxNBUI7b2MHx1v83YOTAn3Yjf8NILQPRMkHUzD+xDRsBk0g0RE9Cm0NBh6RMrrzntkIImdoZ7DpwjJzlGXuJmqQjw61kZQszrYWTquGiFdT9Gf4bz62IVXuvOuyz6rD3ymTvlQrvlYj3KtXylaleq4/7rf/aZ905bmK2EK7lKLRcRMOBawRwtTClWqRsph9u4CXkbTqaxVuTCJmA97UZmL3FvU9NbP+BkXA9RVFrmI3kwHVcuJaH1LPhRiqsD0UfByufBqqeBKlaglW6EKWWiGqpSg0DqWfBNWJlpTw5S7j1i/kLl1rjdEowgkwmes+O+y4I1QekvvZWvvJKaSErNZwjD8UbPp83K+A3hY8RNFu0YM3PQYlVFETLVGnpSCPw71FqmHClJPEqb80ByAIcMC77MYMIs4wC9hHTtEEqPUXZiHeKQBP134WRtGIZtUDOeBjGuR4tqzqehr193tPX3gGGA7AeAGD92AtdQcrerHh5bjizSEoukRFLZORcKf1qmLT82JddmifYMBjW7wTrTBfWXND/7eES7vxG3pIy9orb0eKu4uLe1287Bwfeg8CPwYHhXrDi1BV1nFI+FIeWioNLZaH5cnKBnFIko5ZI6WUSWrmECjBSRiwID80PC86XBVVEUfMloVe4vudXcasyL7zHBkES1NAQKDd2tWF1hW3H9mexvIq4/pkSdsYnu1pzC962d4F65DDeZMd6sZbKon3r7gqJpVJGmYxVKGMXiqn5ItItKePG5tXZpz//8PZVJ8BN3NYV68fKcm9HCu+J6bkyRgGgXOq/NiRHMPLfKWqFGzhwIxsGDsA0tIGK1rJV5UJFZmD4dvcpk4xBvobR6Pk8RsIdtqqarKonKutJIGCjlor8E0by4EoOUkNCW4JUTwTKslWJ31naA6dW3DoYdCNNFkr5SDEXz42kITq8G6mng6hukI5DVjZQUD0gTLiFAeuBxTGs5yp0ArSZCjeFIDre0Wr2vp88qbKxjvZWhn0gwXG26DDxQCFF8TIo+XVI8nM22iJJKZJu/XK5NxOP1DEau0i0dNvtoCM1VERLRHRkdTNR2UyBdSJF2Vr4bhArztgIWL+CM8fExHh28OK1p/ipYINLVjXQ1I10tJ6B1hssbf9wpfqrf/7djfwrdPn78X99BT4OTH6cojQgZWVl5aVLly5evPjzzz+vXr161KhRVlZW5ubmpqamBowkEAiGnqSFhcUfvF4NfUsOh3P//v1//YmGR/6Bkf8Qtf7m1OoMYWPw6EiAkcsORJ/9iJE8gJGP2Ip6sbJAtOuU9ZjJFhDkCsxtwGppsziMc6KJcuwZW60Rf3J29Cgng9U5DlrjzBZEcZJLualaulJDUWnJKh1FpaWj9QKkMlZdKFyXZmbt+psJM8AlqxXxvJNvSGlPOGm1gm1f2Ns5j4haIWvIaLKNZ7QcyWR/+p3lHBJk4WpibAOZj4HGzpnqw2HLNwb5U9xtHGwMtqhmdhYuy5yD9wiSS9ejt5f6UgxtRPyozCG7CdNXMBlhawNpDFsbawsjcCUwgswhm7m2HmtJOy5tP1Pnz//E3HREoIurM8xnLvFnidYEh/KmT5lpZmpKAOJdAmTubDWb6x39RXTiVfbaJNcZC0zN8M6iqZP9gvBZ0b8wFXWRx+qnBoSDHw02Fy7QZC5DWRx7tn6uaKepja0t6LMYOq4TrWkISalhHm3lpOkESEm8+pbrXB8wLQWup7bjSVt2JZ2e5ugEskkM3wGe0xSC7D2CxDMXE62t7OzxcBGIQCA4zZ7Kg0MSskPgMqKqgqIuJ6vK6WilCK5ZhWNk2sqTNwwYKQ8uDCflh1PywkERthhgJLlcSsExUqi7e7cPw3qG+7CBN1jO5cpYXoMgqEkYmiejnA1nll8+h8ck40LV/kGs7aU+7UgeP6RcHFIqCymUEvH2Jr1IxsyPktxaHf02JwdfSzFssLv34eW8KEoJz79KTL8hYnweLqzOvNkL3N3B7CCowL7Ua+ADhVxijYBUIaZkSaiXInlZqiOPS4u6eno/4IkaWD/4smefJ9ZEMmq5xO+lnKybl98O9b/DhoeHuoHo9b1em7DmFsujRO5XFeabJVp28+Cmzo62TgwkO2Mdr7Xqw5l8co2QXi1mF0i4eWJ+TnjY3V17cn680NbR834I/9Xevnj29dHS1aICfmiZkFIipBcIqDWS4Abxinxx0K0YSef9m1jnm4He9p7Bnr7hwT7cXw/rG8Ketj754UvNJ2uKBcTzYdTGW99jXe3AKqKvH1jsPKvPPJ2S8eOJ1ua6F91dBqcGkAXc+QoreaBXJ16OCy85oR5qbRrq7xsc6hv+8LKrOrvh16/Kzp1oyH/wvO1d2+BgD5Dc9mD9b7Cn1W0XT1VtCKuWM8skxBwJ+WZY+LnIXXBk2p71l2N232Udvs9Ul1CV5Uykng83sxV6BlJPVGeHIN+t23douZMTXv/xgizYDryvmcefEJVaIsjVq+CihWHILZFk4wwrR8hojpngrC/6iGzASGUzSakNxT+ISi0J0TDgKhlyKQ5Od/bgQ9AyyFE0SfQZR1lPg3VspFWI6OSKhzGHz9DZjKm2kDHkDkGs8T6fSPZ+vmZv0hJPTyNjS2NTZ8h+kc1s/iLu7qCYg9RVu5hR8TPnLzYzs4BslpusODx/05W4L/K2IF8GEX2szSErU2MLgpUR5EiwnTdmvmAWZ+uKuATO6r0LF1PBhcqMBC3ZZxtzfnnSzbWnrsSu2rPQeJw7ZGoD5pEdIZvZhJmBHoLVojUbAgJ8x40da2M2GjKdCY1iuYvOkfaXSdBMwX4lVcydM9UdMnKEHLjTVl6hpevDUq/F7f/Uy3sWfgpOgVYcdIx/6H/iFTU1M1J1YscR1dL5ZAhaAFlJFqy54nWiISi1maNoZR/TU9MfrjqC0ILmOYLo3dkQgQh5J/odubX+lyxPptDG2ASYZlqNhsYumui3xicGDY1LFsnWSubNjjGCCtxMhicY/8/HSOB/hd/w3Mh/iFrpcA3ejdQyEM2fYiRbUU9D9aFoSzDSyEytClPdd1suMDJ1sMQvvaYmRpDprNkRP7CQFmC1ij4CUchqXShcTVFXM9Jr6KnlrLQKVloFM7WKlVrDBPb9Wppay0ltlByr58OlYqSMj9YzYR0bBZ06HsDIWgHSzE7WSZKLNx19wIlLwOPywFV5BCONbSDr+ZTdV7hwDQOupwKMBHPJHLiOD9ewE8sEKbV8tImJtjJUTyjoI1b6c1rq4xBVS0hqa7BSR1I2UNE6DlIlVOTLEy56eRNH4QsGqNTaTrLz27Jof+6KY8890p4vB06SNaxPLiwLjnG2BcswfjOFlkR57rhOQmroai2QA4EuroYJ+pwV8iPXWLGfQhbgyfCeiilkMt0oYC8xtTFIpaMo64HZD95E/Tdi5Ehu5LUoUaEyGXvzpKf/Qzs20AGgEFc99759/MMXRdtWFUVyy2S0Mhm1TEbNk9CuCdn3PtlTe+n2UC/IOO4wLCHv9H0XTuSIvEvYSx/SV1xfF9P/uLWru7t9aPAdmOUfBmbar5+9+fmMdk98riioVBxQKgvKk4fmyEhZUnKmnH4njJEpo2WJiPcEAVmy4IKI0AJZUFUUtVgacoPrc2Elq+H+FfzYgJ5kaAgDDcmX+t4fjt6XhmTyA2/EyLNSj7/WP23rHwIGA3jQFCiR6GoKD2y+KSIVyehlMlaxjF0qphcIyRcFlNt7t+nv3ervaOs2wHBfL1gzcu5lhPPvi+l5/8DIf1K05supOEbSCqS0f99sJNzIVWg4MEh/AsY5SC0HLecfyWCsSVqw3I9gbAFBRo7z2KRdl1lIBVXZSEI1ZFRDQepocA0T+Uc3kgdXcZBaEgpErThGnrOyH2s9IjYDQhTjBRI+UsxWNdNQLQ2tY4I4HB0QtaK1FGU1RVVNx/1sqEgNXVXLTtVyVK0chZ6vaGLBT+noC0FqM//wg8Dwva5T55gbZpuMbF184nw33OGgH0LhD6TUd6LPnwqT71GjD06dughEJ0PGTsuiAg4WExE9FdaSEB1F3UJCW6gKjTSlJD7pZiA1Bre7wNsQFnb2/hH+Oy/w1RqaspGkrqeqG2ggxPJvjDRcyP++/89/BQwYCRys+/EUod9ceQxer2AH3ddXXFysUqmSkpISExNXr15ta2traWn50Wnp4yClQd1qiAwBSGFqeuLEib864n/FyPcrZmDueODHR4x0tS2YufxA9Dd/wEiWopGLFLG3f2k6ahJo4Y9gpLHtYinnhJaW/oSfppftOjvafgxuGGNYwsYZz45kp1Ty0ppxjNSTVU0UpZ6qqBUgVavTSnnrUk2tgdGG+Yitl63F8g28z99Tjr3mpDfwth13sLP/za/LHIImWC5dyUdyhMq8ccyEUfOEY6aTxiyRujL3+m35MTz5vmjjZ54rmC72oxyMIBNAflaEKTTyjgurUy4t8mf9hpFGJo5zJhDj/beciUq9Ldr7+VIy28VptCVOYyaQpYmzl4ckZdvXlUHSnSbGI4YLkLm9+3w6Ze0X8Whu2Kc/Bou3TJ4xz9IIQKExZGxkM9GDtIYq3TRtwWITC/zSYmYxZjZpRewZHqIRo7Vr0/OX0gwYaQwZu0DjiQL0/vYfKz0lmyxsrWzwVxIvkU2ypilJKj3j6GNmqpaLFK1Nvem2wBfQJ7j0WbiTtm5P+sZt1Fjw4hpGX4zMjaymTvGM4m35hrw6daEPfYytmaWRATGNrZdIlm36KVRRQVLVkVVVFGUlE6mUKHCM3HLjI0ZWyEMKAEaSC8JpBcBKgFomBbrWbBnjQrhAm3GnFyxnvdjQayz7Qlk0o47treP6ZouDvw6jFl/+ZnC4B6yNoL2GYR/e6FMP53ECq0VBlbLgEklIgZSULybnSWiZMs7laPnr3JyRtXSwpzfzclEErYIdUM2j3uLRT8oEtXdv9Q+BujM4K7BB7O1Tbcr+ch5JIyDWSan3ZPRf4sI11y92vHzeOwTcTrsxDOvpwTTlTQnr82nL64SUX2LDb12//BIcKzYw1IcNfMDe6vWJ6+7xlhcIvcokPhm8Fdf3bu7raO/HhoeGBrCuNo0qKYNLqxEy66W8YjEvVyTIXrnqoTK1rqSqYxioisCW9nmLJmXPQ1FIuZhSxqeW8OmlImaJwLdMtLhU4psjozepD2ovfF1z44fyzCvPdfVAazowDLzkuz8MPqptv/BV046Yq5LQ7CObX+Xdwt4+xT68wl40YXm3LsUJv45mV/z8xTN97ZuBvmd4kHX/YBv2Tt9371L29vjMbRteXPwZe/sca3/WV3z30eeHcjYIM1azH6j3N1UXdfd09Q4O94HNUD/W8wHTVTUd2Forp1WIg3OlpBGMjDq6e8MVHCPvsdSlNLSaBWa7WtkKLQMtD03NDFWeW7/v4FLH0fiJuAyyZtsJTjM+ex6qbgpG6kiKMpYqV4xclUk3LrJxg6C5JsJvlyPNJLSZgrZQ4CaKsoWkbCGheqpSS0E0DEVVGHJpLZzu4sGDoEUAI8VfslANXfmYDvILtFLk4cqkMzw+a5YdZA65QBDTbXkCf++lNck/e9GjbCd5OS3kTSTtnhN5mnrwoRDNF6sfyNVXBGu2z509C7JeCDlF2VKU4UcfbFSe8vRfaG4GmRpDJsYEyHSC+XTx/Jgfgg8X8tJLth39lcfhW5pbQ6azoNFMyPfIioN3tnyTHRO9e7Gx4ziDYsJ8EjSON4qnJqY8iEm9FLtzHzloxWwXW4KRPWQ0y2z+dt/NGWHJP9FXh81eNMXKzBSC3KxnrPXdfleYXhYNn9uwd2egzzxwMhLGW3p/Min+VmBqMzft/trUr3YdUi2bR4SgeZC1YE78lSUnNH6prRzkET21gZJ6N+7gYXHwXDeCpTE0FzKhQt4pAUcyNnz/YAWZA8jaeAw01svKc13Qlpu8NI3geO0GxfmEmFh40ti6qcbYRENu5P/PAz9+c2r9c1ErGGzDb/+KkWRlIwUFcZF/jpHANkoXomwOVWqYqZVhynvuy3jGBFsD0ZkZG0OEWeMFp5hIMwdtpSuaAw5Uk1BdsLIxQFkfmNrop2r0V+v81Xp/dVOAqsVf9chP9dxX9SJY+Yiu0rHRWoGyho020BE9EyTX1fDgGqGigQ9cN5rC4NItRzNZq/YY7DkMGAlk20aWkMUs2u5LXEU1E26gKerpwJ0SDJXxkBrqoQJ+SplcWcXc+zAg/rJf3KXQzRk+mzKWfZLvj+oD1c1BKi1J2UhX1PLg6vCUXJpwk7s9SDYFzwyGMZaPFis9VWVexxqDj9azjmQFhiU5Os+0GenkQEYOU8Yw9/kdesBIrWWlNjLhWhas4SAAg3loRUTK9QDJOsjCwsjYIGo1ggjTjHx3EdUNQSodFa3nwRUcuBqfjfxj79fQUfnPFrUC7UqBnJEVxroWJchO3jf8urlr6EMH7nHahWEDw4NY7/uee5crdq8vDuNUSBmVUmaFlJ4vot7iUq+Ey2+nKDuetfUNAE80QGu9HX15d6r3bihYJbjMC72esKsHr729BuOJWPcwBibUdfW1KfuzI1gFouBySVCpLDhHGnJPRs5Yxb+3bdWDg1sKDm0t/XRt/kZZZiQlSxpcKA+pjqKUygBYXo1m6e5c6R3GDK6qeMbUINb2fCD/es3hzTdiuFlJCfrsgo72PtAgNSx9ADWHseryov1bboiIQK4jZxXJ2OVSZpGYekFIzVYkvCzOG+oGcxdghevtwV48Hbp+6Z6cl8EjZ0sMzjp/ZEgcIwFA/nsw8rfcSA1PoeUpdBxYx4K1TKSeh1byEjN4m1J9QtkEIysIMnGcTfdac5aeDFzC8Z6hjoY00hVgQvijqBXvRtaS0EdByqc4Rn5rYzfGDpeW4Tsda8IiiQAtZqI6ELuqrGLiWaZMREMHCu1qhrqCAeeTD2Ys2/rT/I3f+ic8pCt1LLSZAzezkRcMxSs2/EioqGDvODvTh2kKRCDgmk1wC1zE/1KseE1H3jCPPY84paXu+HJBINfOZhQBuCGb2HtGk5FGiuoxFdaT4Saa6hEFaWEotBEppfEHLvsHyYCxueFm7zyZu5O4/y5HqaWoNKHqenIq8K9joPV/1Xj808f/7kYaLvt/3/+fvwIf5a8f/Xg+Nid7e3vfvn1bVVVVXFxcWVn5888/u7i4WFlZGUx3cC/lkUqIYYTyI0ZaWFh88cUXf3UMwEIdjITh+/T2Tiz/4fsVMwFGukHYP2Gk14Hob3zVPV7K95yURkM3kqHQsJWl7N1nbcbNNTWGnAwLGUSw9JAzPmumHnspOvo47JNzTg5jfwM/CDKZCM2OZCE1/PRWOtpIV+lpKj1DqaWlVHORuvC0Gvq64zZOU81McR4Dv5ADwXMj8/h76mdt7GMa9qa00TY2tiMLIgGynGblF89QFcm+ag7e/9B33Y8Bcae9N19ekVBCTHtBVr8QKUoFG45NnjzfDi+tgjPcdvoc/h7RvrPzyZHm5tYGiQRhNs/rk2uB6nrWSR0XfRiVeGaBly8Br3yBaUkr17GLxNGqh5TVCZYONuDIQPbRgtAtv7JTNPyjb4RpjZyEX1cwowgQZI2TpBnBbPbcZePHTSYQoBHlrJWD2zKxT2Q6c/sV8povuWuS53kHjlxwTEdBY+aGrDoi35PuQRWNcRpthb+SeAfT3Y6OUNJaSEefkVKbOakVMaprrgu9wZ/bCIIIY9wZBzchl1zdQcYA0IuAD0fjCQzazjuSlHJZ0kPhRsTJxdkEr7yD73KZM4m7n5JcSkvVkoHVdh0LqZGk1MT+1o28HrG5Qkb7iJH5v8dIGSlbzjgfxtdk3MFdSnvBnGHB9fq1wjq2dz3TK5Mf8EOcoPTmjz1YD1jfDSWKttc65cFslm+VIKBKGlwmCckXh+YLiQUyxh0x8+dw0ZPc7O7h4S6wwvf337/aGCeoZfrVMEPuC5jn16xqvp85NDA0MhaFYdj715qkfeVAQxvSICXflbN+3rr+RWVZX19fNx5WCVbt9rb+hzcff7KqiLKsSkj+YXX4zVvXng8PvcSw/uFBbKATe9P8RLUnk+1VwfeuEAXfE9MyDycMdwPjP3Am9HzQH0XuC1mVAkaNlFcg4jwQCe7Hrck59dXjl6/f4sMpAGpfPH2CHMgThZZJyEVCSqGQWSDm3BP4ZUiW5Et98zn+t2heVwX+V2NYF9bLK06f6Gttxnr7hwaHQbj6YBfWUtn//bHbMvJXFI/bn67SXTv16sGFd5fPtaclFQooV2leWVvDCr49/vzlk/f49qYD68b6X2CN+eV7N35HC3iwJvLZL2efX/tOf3hLdSS5kr+shO95cyXj4efoO2394ADYbHwA3D2IvX/9CN5fIyVVigM/YqQiKm3XhsvRu++yEh+wH1KmuQAAIABJREFUVFU0tJ4NNwkULRy4kaEsCUm9T1T9umbvQQ9nGwuIAJkshmw5dvxvQ4698k977q/UB8GlDHWWRHVRLFw/z3wcEGqKTnsiWiJY05spyc005CkFfUZBHjGUTTSkgaEokSMX4+Djrh4sEIHoKHITfxuCPA5JfR+CvqQjOhGSFZtymsejzrSCrKCxEMRwXnxYcCB7/Wcl3N3fLF2pDvzk15AjRb7JmmC4mYzoAlWNQWklcfCXXEaw2agFkCkHmr+TdujmWtVXXkQPCzPQRwHnkJ3/GNZJr0Mt/qr2UPXTqOSfw6L4rk5WBEsHyGQ+NGur76f3N5wtl4VvWmBKGIdfIiC7ZZC/Ynqizuvk+yAkOz7tu9XrY3znjHEwMQPD2I7subHfsXfC3qT5Y8bgJyg0YfTCGK/ItKD4NGLMNpZU7DlvKj6q5mA7V+LCUE6Puxi4+8c45dldiUdXLKGYGM+DzKlTYy4tSHvilfqMoWqlq6uZylub9ydE+E+faGRiCs2CCHTIRx10JGf9N9k+oSwgRTSdBc3b5h52iad8GpD+zuPYM5k6W3VA/WPI8tbZltiE/ysw8i+6kUg1ELABqeefYyQHaaAg2hBVM1GtISkKItUZE5axCSbWtvj13dzYBCLMGstMJyXW0I7U01P0ZIWOhOhDUG0QqglUavyUWm+V3kfV5Kts9lO2+iof+yif+yhfBKKPSYiOqWzkqhqZeOIIQ9mIY2SdUKERIo+YSVpJUsH2Y5mslZ8YLvSm+CYYV+yYQ5az6LsuCNE6hqKBklLHwEWADKSOidbQkTIOWhSheBAkRcZMZjpOpjtO5TtMjxxLgj12ZYcotSEqHRnV0VMahcrWCJUu8tNffIK5o+zBtCe4mbhCs2njIpNX7P+FmHDJOzJp6iKyjQWY4gfmtGajxiwVemz7iaYuZyqrmXAND6nnwBoOrOOiGh5cKjt8yYMZAVmZGzASLHYmk6DlW8nqhmCVjobW8+EKHlz9VzatLKThPx0ji2T0Qhk9O4x5I4L78NCOnubKNz0vP4C6HCDDrqEB7MNrrDS7bv+2Iim7UsyqlnAqxIwSKTNHxLwp4l7bsUOfnd/f3guyhA3GTS9edeZmNX976k7i7rxfzrV3dbzEsMcY9grD+gaGh1++bMu4WfrplvsSWpGIXCEml0kp2WLSdTmjMHFn88VvX1bmtdXmdVRmvn9wvjph/T05uSiMXB5GKZESc8Wku+GcytNfvHvxqntguAc/QvDG7WzHXjZ1l9wvP6lsyrzV1fahaxBcoztG2pUY9vRd27WreVtW3RQSc+X0gjBWrpRZHs4uktJ+4ZJyFIc6aiuG+7q78CcEMxCtTZ0/fntPxrtGD7gvIufJ6XnAz/b3s5Hg8wL5fwNG8hU6nkLPBX0/PQvRcJFqQVJWxN7TZE6EOVB3GzlMIc6Vp1MSi1hgeWimAydVHV0B/Ir/gZEgeriGqHwUpHwuVJatTvzG2treeqRTASrohEViriKfCeqUDTS0honW4Qk0GgbSyFLWMhX5Qdu+XSTbP2qpwHRasCPr4OKtt4hJtXS0mYE8ZyheMhWPgXp8/1Vf+S7XKXPxvbORkeXUmSs20+NvU3ZmE/fdpe3+ZgEj0nHCxN/Q0G5s4DaSspmifEpTNFPgZrrqMRVpZSl0KxXlMVu+W7Gca+hrgtPQ1nl+ZArtcC5L2URW6UJT60nAyw5gJBjY/mft/Z8CpOHBvzHyr9Dl78f/t6/AR1ee4eHhvr6+58+f6/X6c+fO8fl8Op3O4/FIJJKNjY0hAuT3WlZD+9HwiGFVmTZt2q+//mrodv7rzx1xwjNgZBvAyDavf8FIN9CNTIg+66fqWQEwUstLaeKkPKLDGpa6Qph4ftoKup2NpR3QgALDK+MlkaSTz4nH3vHR1rDt37qPcf0N/CBozCIb/21MZS3naBMTreeoGjnKOp6qnoPWsZRNbJWeuu2HqcvIdnYfbYjtTZasp6W9IR59RVdXs9epHS3tbA0+BRABcvd2Yu1lHi3jHKshHsoh78tkHcxhKuqC0ad+R/uWqnr4n72MOnJr0gxve3zaEJzjRlbW8+jETZ/5r4QnTJqHJ3USoPmrF+8r8lC/8D/2gqqqjk3NWEYSg0sVvtMwNTI1tltI/OS8aHf6+PkzLJ3w0pWTD+1wRaiyLTh9gHTiNV2V4yvbCWaw8Q8LY8jO2sYEgixMf/tFTCxMR0+3H+/jPM3XabKHy8TZ1qNG4dQHTFchMzvHCbNdp8x1nzZv6qyZVuamliNMPmo0OYGk1AWongeqH3HSa8Lh82NmLwDHZmli5OwxLeLLWNX9BX4CW1tb4PgOfBbcjGZH0g9XcuHGcGV55J4z7pNmjwhejSDI1NJ8LjN4byZDDdICSaiWgTSIU2pXHyz9ZPP1tJUnr0dsLpfRyvFuZF44Oe/3GAksdgBGNmbcwSllECRt1RW8Ori1XkIppK64yQvJOryzMe/uB6z3LcCYYWygH3vxRKfYn8FYkc/1KxQHF0hC86SkAjG5SM56EMm/sCpck3Xv7dBgG3hrDmHl2R8SNzYKgssofg9E7PzDB18XlwD/VMMbdwjDHj9qOLQ7l+HdKAysFAafF9GuKo68edQKthNA84oNY8PYs8dPvlBr1wgrmT6VIupPayIzbl17MdD7ahj4pGMDPdjbJ10/niwNo9cwfStE9KIN6+vO/mD4ZnDA7a+fnFDmyLmlfEqFlJ0j5dyS8G/ExxVf/PVVX+9LgzaqD8OevnyhSMwTkoqlpFwpOUvKvh8hu7cx4vYOWc62sNI4caEguICxrIC94oEgKHdHnO7i9/1tb7rx2ZYebAjreIPdvXAznPUty/fXdYLbiWvLkrdVboypE7N1jJB6XsADif+Pm8Iby/N78VhskHiJdWJPqysSNl3mh+auklR8su7hhqgH/OBqxrIW/lKNyOOBxO9CvLzh6kVsADRm3+CbJqz7w2PVwWpxSPU/YWTqrg0Xo3dnsg4VsFQgT4sNN4HVH61nKEtDVAUkZcaqfYeXTbcZY2wCGU+DzEPMqV8vg18tTW1foX4aiJSz0zIiU39gMFaNhVwg4yWQ9IvlaRqKUktL1nDhVg78lIk8ZyBPcZ1gPR3Ol6CXVsGn3JfQIWgiZMe2oZ9ZlvxieVqPf3obWd0oQjPWJH1JCvFyN4FMobGQEXfsokT+7jth8APagQt++67SjjeEnnixQvkmAH0fgrxckfrc+7h2derZcFGwy0RPyJgBTd4YfOD2KtXZAI7faDvIDmwLnKAxUqeo+54pncuUg4HKLlnSxeh14qkTTWyAKft4aPK6hfG3I07WSWI3LxkDTQTfYgTZBxnxf5iu6pz3BbYitS7qxNX4PduCPJxdgBGmKWTn6xp21Cdm+9wFbqYjOwYHs9Ez7MYvGjNlyZiJs8e6uY+ytcITXAkmNlOMnUMIUyIcfdZRt6k3HEwPCODY2S2GCAHjBT8uRN8vS31FVDdyjpbLkJufHkjkL3Z2A1qGaQAjfU8EJBZv+rYsmMoDx0VYCPl9NTW+kp3a5nmiZ8pnbaz0cjTx9HlS6Is5Y7DxRkDU6vw/thtp2P7/GUYmlzH+Q4zk4LORFEQbrGoOUTZQ4cLY9AfjPBimBBuDFzboRppOtw06FPRpPjWxioFoGamtJEQXimjJiJYEN4Sgjf6oJgDVBiG6IBCh0RqAPA5AnwYjrSRYB1ocanBPRbUMZQMLreHC9QKFVoA8YqfopClFW49lslbtxlVuoP5oO7IPtoDMZ9J2XZSlaWkpdaSkGhbSyAK5q/VgWkxdxU4rWaO6FURZaQbZmkOWBGADMNFkImuq6AQlsRjvW+rYyVox+ixc/TIcraRt+XKcp5/lGNwRy8gCsnIxm+wx2Z8/zY/nNsPTzma0hTFelzUyHz0hYJFEEXLoPh2p5CENfIWGn1zPU2g5sJYN13GS80UHflxEk0AW4N1tMKmDIFcz7510VUOoEgyf8HCM5IDe6T+NoX7cCv/nYmQhzpBFMnqenHFHSr+/NfZVUcaLtscf+ntAyQ9g5BAYBtBWaQ7tyhcwqkScGgm/QsyqkLGLJOwMPut6fGxGmqpb1wo0JAZPm76hoQ+d75u1TdWFra2aN33dj7FhHYa9GsaGuvu7S8vK4KSs1VHZYnapiFUlYlWIWbli5pUIkfa70wPNDRgYTWgfHn6D9Txtv3Gudu/6XCm1REotllJLJIxcOf/Bnm31t691vHljAF1g3dbfP9zZibW/fVdf0f76SS9wBAcH3z2IDfQNYW09AznFlYcSHkYL7wpJ2WGMnHDWAwmtOIyZJyZ9zwh+eCShv0kzONDzwYCRGIY11Lakq+6I2be5xAdSeq6clicn4xhpgMmR+38/RnJhjUChF6Q081JaOIpmDqLjItUSJD8evsiSx5sTQBXFxt1/MjuZuD+PjTYz4FZgpgrrmSkNzI8YCVcZZiOJoBv5XKAsi0v8xtZ2lOU/MNIGmidgHM5ioloqoqchOiaq44DpaPDBV9bQ9l5bxNsxauZyyHwUkJlMCR1DO7R4843Q5AY6+pyJvGQgz0B8TmIWZccpT4rE1gacO8ZGVs7OS2cuCJ/iFTveO8xtYZDD+AnWwNQZMjG3tnBePF2SHpr6jKx8Tlc0UXGMpCEtXES3Tl0jXX1y6WK6Kb4HA9tgS6fl606yFWVsVQtZpSeOYGTt393If4WQvx/5f/oK/BXOGZ7n4//29PT09vb29fX19vY2NjYeOHBg586doaGhBsHqxw6kARQN9x8f/BgKQiAQnJ2d9+3bV1NT89G85w8H/K8Y2f4nGAlmI3/DyDZOio6XoucqWumwlgKXsQ78upy/1tHV3XjkDLKBFkYFfvYiJPUl70hdxOZTrnZA04738EzMZ1OmiJXAHfR4k0BdK4RLxYoCQXKhQFlNUz8mH31NO5i5kBY9aqydOZChgkuO2cJYBtpKVOgYigLOamSsuYPdCEbamMzlz4k5HvZlNSPp5jThgfGMTxdGnaTue8iCNf7IK0+0XfD5y8jkOxNn+dhDkKOh2wCZEiaTAtefpe381dObiwd+mxAWbvA6UOWd9i7w6GsqXLdK+WBpaJiBCUdMeIyneG38Jiblu/n+vk6T3cAvareYtD83GH3pl95D/PId83iJrxwUnQ1er+DICebmdk7jxs80MTFgrwVkZGNsZIvvRvGQL3BtAks1QD/w+hAgyGy0y7RFPiG2zs7mOPdCkKlL4IaQxBI/5dMgdTNTXRSR8s2oKRPA62JvaTmfuXDzlbC0osDwAxMmzQZTB5AxZOQMzZFQUorYyuro1LK4feemTJo/sh/Ai2qm04NDd19nqBuDlPogpZ6MaoSKuriDJbs2X0tbefJaxOYyOa1MHpIfTsoDs5EGUSsFn40k5+Ci1oa7t7sMo/7YAPZM3/lVevWa8Cskn/NiZu3ZL543VrdjwDH1HTaAdbdjzRp94u7rLP+7YlJGOCMjnJEZRs8Sk7JF5Aw568IqefWda68H+oBSFMMwfTV2Gqlbybkesux2lLju9KnXNbU4X+L/O4hh9Q11+7dlMpbVyIPzxEHfhrHzf/3p3fu2DyDkAwMhHH29/RWluVvjyqWkGk5AtZRxZW1k9qWf27rb3w709QwNgkruu5eDd6+2frKxnBaUJxBUHVE9upU7kifQ24U91T9WHcwSksqF5BIpNVPOuBwhyEjYoyvOfzsMlLFAG9WLYY9fPU85nCMgFcpJWWHkm+Hca/FrKs9+2XD3ov7upaeXfnj7lappW3SpMDifF5CxindbsbvjZfM7bHgERLt7sPs3f4rk39q/penKt9or5x79+LV+784iekgLO6RR4H9f5H0uXlCVd7sf6+vA+juAHHYAe9yYl7gzZ8fad2dPvLz4XfG+bbeF1GJuYLVwRZnYI1Pic3klr+r7M1gvmBt6BSz9BrHO14/Q/VXi0Cpx0O+6kThG7nrIOlTBBBXhJjas5ysaeUB0UxGK1pCQ0rADCh9vJ3fQfR8NlKjL0XkHnixQdXulvqKlVYtVV6IS00JI4abQJMg2wCL2K5+0aiZaz0uqlipqxSn1vBQNO6WFiz5hIPVUOFeA3oiCf5iyhAamuEwDjLzT5h9oXXq81+/ES1paqRy+tOZT1M9zPr4PHgfZxIzzPSTZcUa8/8wU4a6xpN0LdtwNUT0LRD8EK7uC0fc+qc+CTtRsSDsZFx44ZZoHZEyCJm3wT8iIVH8fKCJPnWjphk8OQ2OkrjEPFyH9nqlYcGp/lOJabLxoujtkD8pdrtC42MlRt8RfvIjalew13Xi8oZlj6W3GOjMr6fW81O4AdWO4+mL8ri2hy52dDRoE68X2YuWKVYcWL1tuYQWckMFFxQi35jM2B1pFkFcJLgKGghoETYFMvCBX2pyowxH7jwUzZK7uyyCz5a6hny893OatfkVKrxSl5kYfPL97596gmWCbBEHTIDuREemc36HKzd9Uk+mGAvdUY+8vZ8ZX09M6Fn0+MOVkByu1PP3w2cvBwc+n2GBuRthYvCHpgk+zj4VyZzg1nv9leGCwbXCgfbC/p7+nb6Cvb6C/d2CwZ2AQV4/2Gh7pG+j/r/6A/g9/wF+LWg0tJFzWjmH/JGpNLqP/hxhpsNihILoQVQtJpWOiFVGqB7NDos2snSwMfz1wPR5HmCFbHPs9K7mcpdZR1c3APAPR0uFGpqKOBtcTkXoS0kCGG8kgNURPgptIcAsJqNq0dKWOqdLTlVoqqmEo61lIDZhvVGj4cDMfbpKilWuO5tDjjpjagYXGAi8NWkBGkImTsTuZuue2QFnPQhtpcB0TrmPBtTS0gajSBKtqOEfL1qdeJVEEtpCRPS62NgJwONV+QVTopksiRY1QoeElafhJLSLFUw7aTErKXxCT6Oy1wtLWzgq8/4wtTSzsLO3MzaxsTM0s8d8UXPwtJ84h7qfsvEFPLmQrqkWwXgK3CJJ17BQtC21gKsrYSRnsHSemrwgFb2x8WTI2toZsFoznqHlHdUA5jNZx4UoOXMXGw/0+ouPvP/nPxUhD8mGRlFYkoz0Qke9E8Wp/OvX8qbajuxMbAg09oGMZ7MNaNa1J+3O51HIRp0IiqBRzKyTsIhH7Hpd5PVLwy4bINw8zsb5BA0YODmM9g8Pv+nveD/W8G+x5N9j3Aht4NtzX1d8zoNdrvjqVuSb2nohfIOZXiPjVYn6VWJAr4l+KiXx29yb2/jU2NNAz1NGF4a7fLeVvz6Q9kDIKJYwSCatcwi2Ri+6ulNw/srMl+9ZAR3vfIOhJ9mNYb99QX29fX29391B3Fx5AMjg0PDg0NPThw2BV1bPjJ/Jjo/JkrPsCUnYYMyuceU9Ky5FTHkqIPwmp2WhK/5NHPYO97WD5AYvcYF526e7tt3i0oihBfhTnoZRSEG7I/PhvxkgOrOErdIIUPT+liavQcxEtF6mVqkrXH7vLWbPLzAwU+CzGeIwJ2BG4K5OramLCTWy4ia3Q/Q4ja7hwNReu5iC1ZLQ1BH0qUJauOvLdKLcJpkaQGXgfm0OQi5XXWp6ilAXGFFspyCMa2sJA9TREz0A0IrSMuOGriUtoBAtDZLkJZOlsOoc1XZoefKiSgTxlwM/p8DM60sxUVrNS7lI2wjOXBZjbgaaClbGVvamjmZkjZGYPmZgZmUAEUMczs5mw2D0ofvnWG9Tjb8nKJwyFhgY30ZSPqEgTX9UYn1ZGkyfNmeUPvhaU/axM3D39d5zno7V8tJmh1FPVGoqqnor+jZGGjd7f9/+vXgEDKH7ExT8818fH8/Pzr+O3y5cvJyYmuri4ODo62traGqxZPyZ/EAiEj5OQHzuQRkZG5ubmy5cvp1AoGzZs0Ol03d3dfxUd+a8Y2eaFz0b+XtSKO7UmRJ/Bu5FteDdSx1W00BU6SkoV89Dt4NXJ4+d5meLmoQCM5giC1bVUpIqx9QKRs9nW1NIULEkmkNHoMT6rPNd9z0Rr5Me1kuQ87q4LoXEn/NZ8zUkpIqU+CTrWTkfKfaIPus2aZW0BBpwgyJQwnui/7iJ9333a9h98qLH2JkCeg1foJ9j7bfPdeiHuVBVz+wnHhf6Q6zyb+fQF7F3BsSeDdtyiKxu4SVlBUYkuE2cYZKIA2KwnuvpsIu28zdj/IIC5aYajKwRZmo5jLoj5LuRwBVtVx9h3h7Xu6MwFfgQjUI0FN2tHm+mM4D1X1x29GcKTj5s8ETxo7r5EmhK4J4OkaqSnVQTt+mamD80MdzoAe0ETUyPXOVMD5J6Mja7zaC7T/Fxn+LnM9Bk/Y+mEqbOnTp01bfpMG0PcCPgpJpamttMne4yb6jPLR+QjiHeY4WFmbIR3SiHHedSlsaeJSZWi4/XsxIvBMVssnEBFz9TKwSlobcDhQn56FWnrmXnLuKPNHUwhc8jYHnL1nB2toB/4Vbj3J6Zs1/jR4y0MCG0MQQ7OriGrGIl3aGnV/up6P3VjiKqer6hdc7B4twEjIzeXymml8uC8cGJeODk/7B8YWSEl5cnol8N42ts3e/H8KjCt1P6u9/6dajTp/KqwCzs3t2Tde//m9QcMew0EO93YmyeDty+Xb113e014TsL2IvWhsqOHyxV7KvfEF8aKrvGJP0uZWafSdS3a9/39fUPY8LOnWOaNmqR9P0UIbx7Y1XQ/49XTp3hsNN5Z+9Dde+uGZs+Gh6KAXEng3XDy9YPbtFUlb/t73xmGJ/sHsY6O9huXM1eKS8TEKn5whZRxLy7sYTryoq6i7cO79oFesBnt6hisq+r85nRlXOzDTVvqvrvYWqrtN4xevX3SmXW1cc/ah9yAChExVxB0XRL6S5w49/TxJ02NBn0pGJ/pwbDHzx4lJzwUAfvZrEjalUj+hc2bHufkdra1t3d9aHv/pldf//SXs6UHthZuX/3gwOas02nt7c9eYUMvgIEfhrV/wDKufB0tffjDOaz97eCbN9iz5wMZtzV7t1bFiYvjRQ/3xN4+fljTUNqJ9b3HevuGe7Cezs7SwjuH9uarFFhNOfbh3dPb14pUSZWHPyneFZ29hZe1Iywrcbs+4/rQQH8nEN/2g299oW1N2lktJVeKfz8bqd694WLMrlzWwVomCvzSWQAjG/hoPQutJcN6CtzATThGlHtPHW/pAJbuGdDUDeNXZXikPKEdb404XhCZ8Dk/Om7ughDIaI75vLApu3/1Qwp5cFmUIidi70Xa2q8CVn69YvVln21FpCPVZKSAq8yMgC/NWkwygUyMTOZBU9aOW3XNO62ZdKxcln579ZFTsvB1i6bNwt2gFkIz9y2NPrVy31Hptn1jPAIgu/mOQZ94rLzov6WEeriVpXrMSq0Rq27H79sjYcxzdJ4CWZCslx8IOpgVnnqZvmbNUq85Ex3wsrD18tGUtKk7q73gV+zUZ5uRi3HhvAnWkD3BBLKcYzp364y4LPnX7fHK70OJM2e4WoIz13ii9dLt89be9j1YI0bzI/d9Jg4TLZ5hYwUqMXbQBLJbzOmQ7d+TpLtnebFdpi93neHpPmupy3QPl+mezpPnj504fdQoe1xdbmJuM93aJdR+VqSDz+a58Z9FIj+wV22dNsuHYDrTesa6xfFFVKVG+Fn+KtX12G1pEeKIGW4O4DQ194Tm7XSIvBeQVL/h6yo6T+xgDJkZjTKbtnYS51ufPWXex14t+/ypPOVm+tb9vyye0jQW70M6QYAk/2/AyJeN2MFt52Ojv12554Eo5X+DkSCVGBe1klSPaOrHdEVDGFJCij3qMsvXxAKUGsDAvKk9ZDXDjbiDk1TAStVS0h6FoE0kRMuEG7iKOhZcR0fqgA8N3MAAE4waOvjQ4veNDFTDRBsZaCMdaWDiEwJspJYD1/NBT0YrQOrFqjL69m8mLmUam1obinkg3Hi0zxiygppYxoHrOEoNW9nIVNRykDoGoqGCxmYdX1USr74SyBSY4fBpIF7IxM5krM9CgVqK1HEVGmZyIy9JK0rRMxWtZFUrMenhwsgDU+d7TbA0G4vXIO3x7bbVyAQIBBnbmExhBW3JEAM3rTIBXC1BtEKFng8301Ma6WgVS5nLS7noK98y1h3kdxlqjpDFdMIsqdeGy+JjTQyknonUspEqFlzJArEfdb+nx4+f/9dgJLVERi2QUDKktDsJOx5XlfR2dg4P/Wac09eDPWl5jR7O5VKKxKwCGbdMyq8ScUtEnCwR866Men0Vo+n7zzpb9d3v2/r6hvpwo5o2UAod6sIGe4cHewY6e9ueDOvKW04dzV4TkycTFwj4pSJhlVhQJRZUSiTZIslP0ZG6W5eBt81Af9dg91usCxtqwzqffLh4OiOMkSthFEk4pRJ+sVz8QMa8LCfdS9z+OO9B79t33T19Hf0DHUNYxzDwE+jGevuw7sHBTuzDe+zNc6yu7MkJZdHqiJJwbpmckS0IzQljPghnZsipmWGh9yJCz8eJc898OdDR3jkMTALAiMeLp20/nMuNCc/mUcsjuEURzBwJuSCMkY+nkuDhHzTD/W/dyH9jbiTcCKz8FY0cBTBJ5qANLLiGrywPO3qPtj3ZyAR4NxmbTyBM4i3beJ6bWs8EvsQatkLLUeg4wOqpjgPXcuBaLrivpyHNFKQF2IKn/DTBOxhysAOZZqZuxm6hU8WfCVEtGwaBH6HKphAUpEsBK2O0NuJYaegaldPUJcAWFteYgBN9zGSXgA0Bu/OY8BOmAmAkDWmlp+rpadVsRQZl64lpgRIbl2l21g4OxkbWI+9/yMzKjmDvbjV++UTSluUbfqYqqunqxxRFI0tRR4d1VLSVgmq5qdUxqQ8WUlY5OE8zNjGDjG2g0XMn0HaHHMgWKjVSWMdHdCyljoFq8Jicv2cj/0A9I//8vQLz78//g1fA8HoNDw8PDo74BRi+GLQ3enufPHmi0+n0en1dXd2mTZsCAgK8vb2XL18+bdq030d6GAxaRwDH2vqjotXKymrKlClTp07ev2HjAAAgAElEQVSdNGlSQEDATz/9lJOTU1NTY5iu/Aiof/gT/hNGjsxG/jlGHog+89tspIaXouWkNINMV1jLR8o4+y54suNdp801xMsaTfby3XKKsePLJcRIJ9fpuImoGciVHL18Kl9BTsjmq+rC0TLp7ovenB3Oc0Idl0ct23ieqG72P/qKdrSBn3R5CVvuOG40vpBBkNlY93ncAOGnHsSVji5TR5ZUyNJsAnlm+Gn2kaI1R0vYsUemzJgHmZlDVg7WTpNdpngsIq7kbf0sQLbdcdpcCysrM7wgC5k5uHpKl8Z+Rz1UwlGUM9YcDQpkm1s6QgRn2xmU+fwDzK0ng6I+dZ/naW1rb2qE9wzNHMymhyyM/Jx5uHjDsdzwTYfGT5wCSrXG5rbu8xax1tO3fx4Ye2SiF93CbhRwbQBmNhamTvPGBq/z3/4Ded+14K3fh248Rdr0BXHjCcrGNPp6mBufJIlPmO25wvBHNIHMrRzm8leraetPkbaeo27/ekpwhP0YEPsBrP7tXNw9hb6RabJ935FX7h41aQZkZgxZjjZ2XTr3f7H3HtBNnHnXuOid0FIAE5IQSoAkEFpoLqrT1cuMZGNKEkgCCSWQkNDBlqZIpqXXXZLN7qYHQgd3W713yd1ACB1TXED/88gJy2az79nv/N8v73d2X5054/HItjwjzTPP/d37uzd/t8QShCxBtKAUXcI9Nm4OmIV36c7rMaDHg5PmkC/MxBdmPDylX3egUOrSpStv0P395uueXvMxzpRLipyZO93zi7wCi09J+5/bYn/15f1Fi9/+fsFLDj3sMORU5AkrcyVWA2KlEDuFeEiJlxTZSMkRg6zmyy87boDQwhZQY715o7kpWXry5L4Pqn/47qfTzZfb2s7dTp3v6Gi9fqHdWVr/6vLvDdpjxoLoicNnkv6rdbErMe/V8gPRwnX7lYIf1JJvX1p8+OO3z5w5faEt1XbtZkfD2cQJ28nP/lJ1+HBTU8OFmzcvg9oxgIm3XO7611dHntNVU+KjGv53+UTJe+xPl5rPpDpOdWpNb7amLp0//6cPK57VOgwSp05s0+MV+eqjS/Mq97KXGmJX2q9dTN1qu9WRamm5HQjUfPaZ/+sv4n5P3dnLlzq7hBP2YMFK+0LMpRE6lfxS+bxvNfM/Wa6zHv/61Lnmq+nGSGCLcK09FXTFtq05qcmx5kIVedJDuaofVrxYf+T4pZ9Aus6PqdTltraWM6cabVbvN1/6jh4CKLTtxtlU6uKtVPuVm6mo58o+5sNn8qoPlt9qBz2MwIDn/LlLthPOj3dV/eHd4ImjiUjozNVLF1K3LqTab928cDsZjH/60f7X1lnfe/9abX1bKvXj2TONyXCTqzxwYJ/r8z3h/Z+edpRfOtPUCqK5b127+VPqdPjyiS/CrywJ6FG3TlCuEx3MNexbsI7ON69f/lUaRoZwthFmGnA6qaCjCjoiY6IYXYvRMdz4F/X2V58WTB/Rp1ePLg/w+s/pM+3FKUv/AK/7Q97rO8n8Z2dPmdKv/3283o9PyuWyjCdgtkprKn1+++cLnl3z+JNzMx6dO2hC3lDB3uwtXonZS3DlefR3c3JkQ7rzunUdxOvzRO+ZS55a+V7O2iL9GwX5y16e9fjMoQMe5HUZwxui6if/DKfLnyl4j1rx0oSnJnXv0rvnkAn3PIQ/MvdVwXOfKl7/Nu+NfYtXFcBQ9sMj+3Xre989ExdOWfQ5Ueg0WErytryL5y2e/PjYgf278boO7PbA9IGSLVOf+yO+at/Lr3AGEdS/C693l2EDHpKOkb0NbfYueLNmya4DmjWrhPxp4wZ078Pr2XvwpFHT9NkG44LVuwj1oicnTx7UrwevS3/e/XMGo1ueeuUQUWjXbjmpWPc1suJjeMVHyIqP4BfeRpexxJK1uN4w9YmJ6et6yIBx2keR7XOe/2zeawf4248uKPph6fa35osVvXvdx+s9YeSc1eKXPla88f6idUZSmzt1whN9e/UDYScP6+9RfvL4prDQHM3fW61ZumZCxr2DenTv2W/MPY/gj0Kb5q79RrLjwOLV29aJnyoc3C05nAda2e/7j2Ejz0ZTW3+BkWqjC/kv2chObAMzccjcIGGbYWO9jo2rNxweJ362y70jO51v0ilvvQZPwbENB2CjW5j24xFzCYyJyuiQlA6l7WR+LeDs3IkDZAXCHtNLkGACOOMHrf+mkJaOSpkEzEbRbcWzDDt6DJsEWiO7DuV1m8gb99yUlRWEpUHBxYDslo1KQUxChKBjUiYup0MU51665+Q09XO8Xn15vbt36wrqpl269OD1Gj907ho5E8KBK11EbgqQdEBamECYU7i5Bt58NEe95vGHxw7t3qd3l569u/Tozuves0v3rl168boP4WVkjtbulRRE1ZYaDetWM24VaCGLYkwtZqlBOI+UOara/tH4eXDfnr9UarsM4w3lD4ULoK1WdVFnYqRfCjoqfz8Y2WkxagM3Iciul5TqJd8uM9Qd2X/rwrn29taWtDoUmKqdbj7HbC9RiCtIrNQgtekUfrXKqVWUU0SpXnREn3X0lTznH9487bS1nr3QfrO1rbW1re1GW2vLrZvXUteupk4nrpd+Xbfr9eolRJUa8qgVfo3aq1H4tDKPVuoiNaUa3V8WkKG/fJi6eDZ19Vp7e9sVoJG9nuo4d/XAvsO5WBkgJGVWUlllUFfokMPSed/mEid3bIzt/+5yInH9wvmbN1taW6+2t19u77iUaj2XutKYqvG0ln7XvGdb5SJ5qVps04rsGkGVRlSZi5XkYkdz4aP5oiPL0IM71jiPH7mVun31dqr91i2AY522M5ypXE041YhTJ7FSkmqQ9oFV6fH0Gruz7uRyq3/HwI9f0iyCBOMjGL+UDWJ0AGe9hKV0zitFvB797wGjY19e3ycnL9hNMFaM8WF0GAd5OXXA54kOdy5ANU1HCCaJ0wkla9fQ309f8lrvaZm8eyfwMrIHiTZPX3EC21ErNTUhbI2wKJhlDmQDF6iw2OyjdtvQNe9OnC/vnSYYwQuCalHvXmOxuS8fkdINuOkUSjfDTJ3YXCe0JKGdMaLIx1/3xQxy09jp0KCBw/r26NOlS09er8EjnxSO4j/3WO6uGat/kDBhYmctbAyhhYApRekYxNRKuAhe5NQx3z4wU8Lr2bdbj3683g/zxmrmrD4gLgwq2aTeFNXRCQVTI2USOP0b/dt36i+/ufGf0xv5XwCn/33q7jNwB0beMc5pSz9SqVRdXZ3JZFq4cOGiRYvy8vIefvjhrulHJ9LopBzvbN8hHnv16lRigWfmzJnzQfrx7rvv7t+//+rVtL/1L6jxX4WR1aUXZ4/9tcXOiH6/5EZeBxY7pqjCGJMZa6WmeildI2ciatqOrf54Grq4S/9hvG7du95z3/AnMh+dMX/wA2nRKGD17uUNnjNS8MaclT+kWzB8ixibYtk7w0Y/zesxgHfP4/fkrBfQPn5RLbI7Ru51oK/snpQj6dqrT9d0ynivHveMfnDSsGGPdOF16Qas9frzBj3+sKxAsLma3Blbwthzl7814ylh926APgQqpS5dhg4d/tjkaSNHP9ylB0Cj4D7c595hTxD8lz8V7bCL6ICsKKjZdkC7nL73wYnpknT/AcPHPvT4rIzxEzuFE4BT7Dm0+8h5DxPb8O0uhTH57E73og0fZoyb3gP4bQAF6dCRD42ZMitjzMQ+/cDomN7bu8fgaRnZr0xf8ZWI8Yp3RpBdYXynHy/y4UVefKdHWuQgzVXPMsemCXTpNzRtXn2/gDJVqXZGiJ0RKV0lWP7u2Bloz+59u3UDLSq9Bgx/4KGZE6ZkjR7/OK9bH173e3iP5DykMvE3l0DmQA4ThC1BquDIPOmLPQeO5HVJy++6dXtgzKNDRj7Yo3d/ELzetR9vQEbfWZpHV3wI73KgRW6R2SHYac+xOERml5rxPrvVvu7l/ZYlb323YIXDANkN2eV5gspcsc2A2CjURmEuEnKTQrdeYl2oCFp2tsbOtN5su3C77XLq1o329nMXz9c2JE+d//FKRzuItmrvuN5y5VZt5Mof37SR6Mdy9OA7753+8fTFVGtL6lZ7qj11uanuA8tBtahckXOIRP66YnG45GjThUvXUqnrN1NnLrTVnr5Qe+7C2ba2y6nUlY5U29XW27XNV95/O0yiIa3EpoNP6NFvFqtKPrS0tJ07k2prAm2aqdTVK6mm5LkPiioWS6sN4koDXJYrs+mlZQrxgWfJ0yU/tJxvvnQbmPGAFpmWaxebmn4829h07Uxjx63zQDvbmvIcKnsWr1Rl+nUSp1Jcrsz6Xjf/g1V6u+PYTy3n2m6nrt1K3WhPpa62pCoOBDctO6nJsuei1bnKk6Ti6EJ9hamwtqL62rUb5zpS59N6q8vXW+ubTp0+d+H67dSV9K+3Xm/rSNRe+vKd4OuaDylZ+Sc/tDRdabt+q+P27Y7Ures3LtU31iTq689cvn6hPXXhdupCe8f11pbUj4mW7/eVrX3+2+cWVuze1eB0X7x5/cdUCkDoaxfrm+OnGyKXz5661d567fatGwApt7SfDl4p/sL9xlLnYkXAgLt0wjSM1O/LX0vnc+uXf7no1XJiawDnGoEXDlMrp+MKU0yettuQMmHMXKze+xfV6lenTpnSt9c9wGCm/+ihj80ZNXnWY1OmPT720Qf6DQIT46EzkQ3f4Ey1wuKgTMde3ro3VwUN79O9X7cevB6TeKOXz1hnlRRFULM913yUfH7D1PFj+/fty+vSmzcwY+gTM0dMfeqxmVMnT5x4T+8hPN5DvIHSvlnmsa/a4F0+kvnumc2sGBHcO7B3b16Xnl0G9h44ftRjOeNmIDNm8Oc9MW340HvANdd/3GNyk2a7Q8/E8jjvQvpo7qZ3kIXPjJuYkRZAdel2/8Sh42aPmTTn6SlZE0c+yeMN6dZ/3uOSAtlrJQs5/wKmWkkfUjKfG5avET3x6IO90+XkvkMffWjy9Cdmjhk1bkC/EbxuGbweU7vNeGX6mkPiHTZFUUK9s4HcWa8vqlVz9UpzI7UrkcuWPVfw0UtvbMiZBxyweLwJPae/PumZrxS0S707LC/y6OhjL+/6BtI92wfMpLr1HDg6Y1LmmGniJ2c8PfGRB/v3HsTjjeT1FfbNYR5/pVK8txl7My6jT1Ab3xEptPcN6QfU8j3uGfDAkyOmYo9mK56eMRW+r+sSHs8/nPezxc59/+Zs5M+9kWkY+eUzC/ctXl+sNroRJpC22AHpAr9MYX8N+WA2ITTXCblmMejZTcoLbLOe2z14JsIbMLyTdejC4/UZOWmSZqt44wnCkpCwSYhNImn2IM2W3G2JESaYOwswliSY4F1LAGf9OOtX0H6NKUCwcRGXgGg3/9Vvx0CvPDTdMHr2suGzXx0p/0hsrFPtOaNgozI6LP8FRsroqJKOqk0hvTmY96Zr5kt7H5gJ3fvYhAGgQJm+i/V7fAS0FXQzmxMQHZAZndpCm8oYwk31GJ1UcQH1+i8E6jUTnlZmTMEenYaNfwp+bCo8fpp09JwlI3VF8zZXi4wxgg0pWKeUdSFmv5CNC7lGbHczzoVkW38QPbtt2EOdOa1AesvrO7nPtBVTX9ovZYOydMSIlPFKWV8aIfxObOQvSRVwtV5SqReU5PIPL5F6LFvPO8paLp1pTd0CxjltHamzZ5vp7cfV0EktXEzhVp3CrVbbtIoyCi/Tiw4qnv5CmfXd87munWzTN980HT3aePxIY/GhxpP7G47vrz/4TcOnb0Y2LS0j57u08/xaSUAjD+lUfq3Up4M9OpGLwss1xKFceYDbGPviT6Efjlw/d/H67dup29dTrWcvffvJkTyiHMBIaRUlrcyTV5GIVSspoYhvSMXBFUujH77d+P1fGw5/VXfky6aSb5vLvms+8dWpQ581f74nUbi6mBKdUGZWUqJKdU6FItNGQZUGtNiAHjYgB/KhAy+pbX/+IFFTfzOVunkrlbp+I1UTv/zJB/GVL1QpEKcaBrVSSpyGkXiVnkgjSfzOulqPWyns93Fq7URBOLgMY6Cqwnpx1ivlAigNlJyIxTV7/acPTJ43EIhEu/B6PjCcvzTn1W8J1g+bYihdSwDL0xhu+hVZF5MyMSnjkbNVSMGBx57hRslez1CZJj3/beaGALStXmZqxtkoZHbwLY7sIg/f7JdwATnnkW0/Jl757kRk4ehJTw4fMaxL925d+947bGpu9qqjOF0DMfUSpk7CJkVcraioMZutz2ZrUHOYKCzjv/DWZMmSh2dJR01DR+csnPPiW5kbD84tsGea44JdTWIugZoCOO0n2CDCRCVMTMIFCYtdW/jFPZPS437Pe3qOEQ6Vs/O22YQABsfVpqiGTijphBy0H8dAF/Q/aSr+zf3/4zDynyGHX5DFf9vXTlvRO+u7gdN/4PatW7d+ddSde27dunUHPXaykVevXt23b9+777778ccfb968eeLEid3Sj54900gAJF50vYMY0/cRsLqzp2vXrlOnTl2YfuTm5n788cdtbW3t7e1tbW13s513sOtvvt+dbOTfnFo7YeSIvw/8GNG3evz0jYs+mmO5Nst84RcYWSMz1sropJxOKOiQansZtOL9h+bqhox9itd/GODEunXtAkBQX96g8YPHoI+i28XrTiA7ghidRHb484vc0LK3et4/BWhuej7cf/4qsdEOWaLozqh6d0BrOowsZ8bMkgx/eHzf/kAk1rtbj+5devB4fXvdP3bQJCgDey1n42Hc7Febg7lGxzObDxH67U9Mh0eNfmzggEHd0+ATmP6nCc2e/YcPGT3zwXlLclZ9rtjpk+yMIHsTxN6IgrNpt/0wT7F8ZMaYO6e3U8zD69qz+6CHhz9BTiCMgtdPqiz1CqaJ5MKaLQemyVaNnDSv37CMrt17AfyZfq00VO3V9Z57B43JmgAXzl9+WLQjILbUCXbWCSw1QktSaE4IzUmBOSk0xzE2ojO55qo39hv6EK/HfcB0JEOBFrrhnQ3iokaUiygLK7KXWB6ahj/wyJPdew8E73k6wiDdhTWg31jRWMOuzG0OFHTW+AWmAJ+LShm7+KWPJ4uXjZqY03tQBq9bX+DlClS8/Xl9RvKGz3gg69lJz38wt6AC3hUmisIQ55VYXEKzS8K51Yz3ma32tSvvgpG5AEZW5YrtesRK4dWU1EqhdlLioiQOA17x/LLkh3+5HApfvn72Wse1ttTtVmBv09EKcFh7e8e1jss/paL+nz77MPnq8y498hmJH/nwnZar51pu37wK4hFvpK6dbv70rSMqkVOaaU83vBxjN7jKj5w7d7H19s8NLy1pGHajrb3j0pVWf7Dpow/jK5fV6KCYRuLQocUUvn+RuvIt07Wz8attl6+k2ttTt1KXz1089q13/dLSPElVrrg0Dz2RK3fqCbcsp1gHe5kNDUe/bTnT0A5cDW7fSsd23ATOrTevpNpvtt5MXTnTevBD27OYXcd3a8U2NVyuER6khPtWLXCV/XD5/OlUa1tHWpWUqq/78Y+73Ktyi9XZVgNenas+qcEOqeFvF5PlFjpRWnrp7IUbQMEEjHs6FyDN7bidarnWFvKf+ew93/qFJ3LnfqGRHF+/2fuHv9aVO66ePtXefrPzz19Py2Zv3k5db227ef5sS8B69ts/hF9dekwLHdITx9Y9X/wuV3Hsm9MXz1xJpS7f7mhpb03HiYBQhJsdrW3XL91qCv90+DPP9pePU2KHAfXpcYdWVEFKDubq9+W/Quez65d/sejVMmKrH+caILY+DSOTClNCQccVwP8/iHJOYmcpafwKX7ppaiYyYvTD4HL+uVcY+Ld25w3vPiJzJLwWKijBGI/M7NUxZauM7+tV0NCuaa/UbpN4o1c+saJUbImKLQHtXv8i+oB8yavTM0XDR2eACkla/dmlG69rl54Aqo2UDRO/PXl1dbYpJGB9hMW+gP2eemlrjgR7fMLkISBOFQSz8rp078kDsiMwtgybOuipxfyVBxYV1S6gaxawUcpk09OH9ds/hgyLJk+aPHjYoM5LuysQjPbu0m3S0Im5o/jbJKv2L2BdVGG1rqACZyuF7DHDjs8NC9fwZ88bOXTQHS1hd14/Xo8nuo3S3j9r08Rn92O0X2b24lwE5+qkTL2caURMpyDmrGxXo5ypztvx2YsbaT5fmjaCmMmbY3x8dSlK+6VcRM4GNXT1Iu4o/vyO8bMyB9+fVqx37c7r2qd79x5pM/nhfUbrH5LsnrTsSE5hGN9bh+8Kw8ZypfGwZsNH82HpuJH3D+nVG7QMdO3D69mnZ1feKB5vAY9Xdn/f26N6/HuzkZ13rl/ByE8Xry9VGz0IE0zDyAjGRv4RRkqBZC4CsYkcc122uUlgbhaxCYz1Y4UnZzzL9R0zl8cDeUzgfttjYM+xaPaqL/V7anEmjjIJiI2L2SgCOMnIPxiTdiLJThh5Z51mI1lASMppn9LkJdggZI5IWD9Eu8Rby0RvHMt5vSTrDZtwq4/gatRFtQo6rGAicjZG0GEZE5HTEaUpojaFNWxIVuQV0cdFqy0TM0VD7ktTOLzePcdJ5638WrGnTsKGYNqjMNk1BZVqoyctIAwruYCGdSi2nxCt/y577Zfw2i9la/6iWv1n5ZqvxOuPzd1q55uCGBfFOT/GuRDOI+ICOeaabHOTiG2QM1HZ2m8em5fbvffgny+YLoN7PoiOz/8EMnmkRRGc8cuAeSZojAS9kb+XqLUTRgKYZJCUGXJO5mWeXMAvXip3v1PY6C1LtV4HpGB7KnXp8un39pY+ozuhhcu0mE2nsKmVVTpFiR4v1SPFOnGpFi3VycvyDLYXX6h66YWyl5eWrX62dPWS0jVLi1c8W7JEU6kXVyhm+bTzgxTi1hBencynRX06oVeX6dELKjWCElJycrFy30LDn7cUnK1tvHn7NmhZP5v88Q97j+qwCi1uJQkgK81HK0lxlVpio6RHpKIjarR6aV7VC/kVy/NLX8yzvvJc5aolFS8vtK9eZH1RV7YAOa7KLKMEpZSgTJNto8QARuqREgN+0IB9vZA48PrzkfKSn663X0+lboOYqR9bvvxzbPVyp15pVSM2HWwjJda/wci/AchOJJmGkXg1if6CxsGGzYDZDLjNgDkpgYvKLjdIv8td/P7iDVuW7X12+eeGTeUKOiQyRSEgMf11ReZf2BPDmQTg6lkfwXoI1gtgJBNDuAhCVwqe3T4sYxT4gHXt2f3+JyeRZhkdkJhqYLYRopMSYxgH2TlhlIl0LiCblIuB5mEuKt8Vz9lanbmtInNHddZ2D0TXYaZGGbAXDxCsFeGqxWYHxPlQJiy3JORcUGmxyQu+wha/NOXJCV179uv5UNbT+W9iW+woExdxSRHIX43B5lrEXM+na/lsvaSoQcyEUZMD2XKMv/aL7HV/ydl8UGxx8PdEZnLhOTvrcnY38pkIwgQROgAzIQkbFbERiPMrLbbcHV8OGjcX3JWGjBmlXD9lW8kcxiOkfQgbxZmklInLQCpsGIwk/4en9H9h5K/Q1L/rt7/Cjb/69g667syEPHfuXCQScTgcdrt93759EyZMGDNmzOjRo++///67qcXOkfw31xkZGTNnzhw7duzTTz/99ttv19fXNzQ0JJPJixcv3gJZt397dJ7wdIoB2PzbE3dtdYYygOfaUqnLLanq0kuzx4K0j+FpldQQXmoILwVg5LSNiz6cXXQHRkZlxqTMGJebYkomqWISKlNAtq0CefWLpxdsf2AGPnj0pP6jHuv6wPheozNHQ69kvvBH+dZKJR2RsnUY14CwCVWRH9347aPQC0MezRw2RTkxfzfB2KWWKM6G1ZYQyTl0O47gq9+fS64bNV3Sf8TYPvc+3O++cQNHZY4RvTRr+YfZBScgiw3lHHLWpTI5dYVWamuxfu2fCcOWcU/BAzPG9X/goX73je479JEhI6c8OnvxnLw9+JYS5Z6YxBwSWYLo3hi8MyhmvGihfYnpmES5aljG5MHDHx04fEz/keN7PjCxz8NZo7JXZy79Ct1klTFhJYCR9VI6mq5zHcl5ftdEaMmAh2f0fWDcgOHjB46cMCBjUv9HZg99Wjst/03J61a0IIYyYICCzLUQVwNxNTCwia6BwLoWY5NqNiZ/bf9kaOWACTLecEmfWSslBS6IqxUx9TCTlHMh6Y4K0eo/Pa15Y9Rk4ZCRjw0aPnbQiPEDRkzscu+08aQZYXw5IKAvKqe9GBsUWUBRTLKtCn5tv+C5t8dmPdN7+My+Iyb3G/VEn4cy+03RjJBuyXrjoKigCma8BBeRgZS1cGdOL8L6NLR/yVb7Kyu/72Qj7QaJHcBIYSeMrKaICr28Qi+tJFGrFqpQCI4p8IoXVwTf33vKfuhCxHq9LnqjIXG9PnazIdbWELoZrrxevv/yx7tDL+Y7Sdihl/ywWFps2XDOcexajedGc+Rmc6jFW1rzZuFJLexTiYIkXKlHDiyTH2JWxo/80FJTd7W++XJD05WGxpa6upvhyOWTx06/t9f14mKXDo/rkIAWspFIGYkeNhAVW1b/ePK7q2HnjdpIW02k3VcdZl4/kQeVA4sgUVkuftIgd+hxn0pgVQnKFylsm1adOvDlpYDzUm3sYkPN+frEpcaalqaaK7XBloD7ctmBenatdQlu1YttJFSpRUq18EEN9OVzBs+nH5yzV12LRDpi9alwbcu3XzvXPFO1SF6mk1TnyqoWqEtI9LhGeMiA/LCUOrxxbd2hgzfisdbamvb62va62ra62vbamrZIuNVe/uP7nOsFdWWuqJTMqV6AluTiBxeTpVveqP3mi2thf0uypqWm/mb96db609eTtS0Bz5Xi7+vfLgiuXmxXw5Wy7DJNzuFc4V+XwJ+tMSSPf3mttuZqw6mWxsYbp2qvNdVcb6y5WRO+4bWe//qP7o3LjxuQKp3YrUfdFGbXiiqpThi5hs6n1y//6yJgsXM3jEwoTJ7AolEAACAASURBVPE0GxmRMSGCDUg5n4xxKOli7cYPhYZFDz0xcWjG8AH3j+w3fFyfkU/3e4QcqWBnbz+Zw3nEXBjmwnLW+Qz9FfnMqjFjpw4Z8cSAh6l7hR/Mfc0t4aJCSxLZ0yQvCpKmE+Rre/hK3cMTxt034sGhI8b0Hz6x94Oze00kh6nfnbkjJmGSCsaHm8NQUQxnnDrjsbxNf1A/v2H8rKwBIx4cOOLBQSMfvnfEo/ePnNR/tGCgaOP0lw+q6EQu16DfEc1jYiTjVzMOHVu+sOAb9QtbZwjh+0Y/eH9Gxv0jH+n/4Mzek5+fuuLA/E1VSEGlhqmU7ajEtttRi09gsROsNa/gpGHNriwIGzHqoSH3jhgy4rEBD2b3m/jiSMUf575ilxpjci6Im50Y6wU9d6aY3JRAjDUQU4vvjGFsFUnvX7LtjxLd+oEj+D0e1A9SfzK/IIiwgCcDQwftVzNWqmC/cg03h5A/8PAj94wYPTBjYt/hTwwcNX/g2Lyx+s/F20PCgjBER1A2KCp0Q4wP4bwEU5W/5WNMrp08edawkY/1HTG216hxA0aMf+Te8WszJlWOf6Jj9OB/b6fWzvvVr2DkZ4vXl2mM3jQbGYa48G/CSBlotQpDbDKba8w0N2WbG0VFtWhRRFbkIbYdmih45p7+I3v+HEbXnTds3tNLPyO5mNwUI+iohIvxzTEIEIZpxemv538gnODvFwAjCTZAMAEp45MxIJMXZX0Szi8yB6FdMYklKjSFMXON3JKUMREFE5abQipzXGlOEKafYaTKFFWZwiomgLM2/tavs595Y9TYx7r3TFdvegwfmr0a3l6F7UzAXBBnnErGqjFWqo02hcmjoL0Kzk8UBSVmv4jzizkfTLsJk1NudMuNXpQOC2iQ8y7bGUO5EMQFES6AsCExlxRwDRBTQ2x3ZubuHDJyJghcTU/zewyaPHzeSzkbinFLGLeEsfQRyWmvArho+mV0QPq79Eb+DUbqJRX6nHJDZqV+fkUe/8hKg/WTPe2nTqWupSMar7deO34wuH1dqR63azGHTl6lVZaT8hI9UQ7ISalHowyolF6VyqnTVOvkZTq8nELLSbTCoCqhNMUqzK5DquSZDlWWR4/atbiLJDw62K/j+3Xz3eT8air7JCU8sED25aurnYePnz9/qbWjPXX1fJu9OGnadEwGVaowG0lUGyTVC0UVJL9EmmXTSCoVQpsa8uhldi1u0+JVGsxhUFbq8DItal8gq6LgMg3fmgdVGkQnQbs/366X2CmomoJLDfj3BuK7lxa7P33/dE3jxVupmx2p1PW2mxXloVUvePLUHkpu1yJWEraRUJqNRO4wkHdvVOux35mNJAD4BC2OaQzpIFgHRnvTaDAhMwdV274eJ1T0GtxpKdznvtlL4Q0VCNOAFJ0W0XFhYQgzx2AmDLORX5YwwkVgJoawdai5KWdHXEDHROaokInCXA3GJGSgE8OvoJ1yxiFlXFLGL2VCUi4MCEy6BFn34SyJ6v57h/J6PtDv6WWi108QpjDCgLwcCeiijAEpuDEG0TWIpVnA1OUwtUKuVsTFhXRQxPgEnD/bEppXFJttjs0zJ3IscSEThBi/hPaJaH8OF8vhkgjnI9lS9SvvDB0zt0v/sQMmYdNe+uO8XWF+URhlvQgXlXA1MBvBGC/BeKVgZAinCcl/lZP8H4SR/66A7V8/rk7sdBdcApv/+q//H/3krfTjzq/8CkZ2dHS0tLT8mH6cOnXq888/z8/Px3FcKpU+9dRTwD0t7ezwm4ixc2fPnj2HDh167733Dhs2LCMjY/369d99993HH3/81Vdf1dXV3Q0d72zf+Wfu3vjV2ej89u9h5NVUdclvwMjhnWwkgJEzzeelpojcGJEZE3JjVG6KqExxNZ1UgsyAsILzIVuPZb3wztzcrU/pN06gtjzxzB7xpsNqi1dlicq4pNRch3K1iDmBWQI4UyV69S/znts9/8W3+ev+LDNVq3bGke1efJtbywTURqeqsBJ+/bt5L741K3/7NM0bs3U75i96S7DmG4yxwbv9YrMT55xyswsz2VGTS8b69CZP7sYS0bPvzcndMYt6Y7r6tRnKzdl5b0pe+hbbYtO+3QzvrOHTAcgcEJnc/AKHkAkK6VD+nnDuxoP8PHY+tXm6bsPU3IJJhp1Tlnw2Z9VJeEtQDkYqcIwkXavgamR7auW7w1hBiWjtn2cv5GZQW2fotzydt3XOEtPM5/ZMW/6paLsVpuMQU4OZa1GQsxVF2Fh6GIzBDNhOS6ViSkuNwugRrTv05DMfP6R/c/ILfxXtcCFMHGPqcbZOak6ibBQx+ZDXfoCfe1uQZ5xHbZ6n3/q0wTiJ2p21vkTCJIVcM2SKgvmDOYQVxYVcNIsO8gtckq0V2au+mqzlnjKwMxYVPfXcO0+99FnWphLCHMbokJQJydkY6GmnowQN+noIJqCl/Yu32V5Z+V3Rkje/W7DcZhDbc7PSvZHiagNSoSfK9MpyvaKCIkCroVJwXCYqz9dWvJxfuXmpjX7Ft3ub/80C395twTe3RvZsjDCrwxuWxJbrwgbYrc6x64UnF4hPvqxxGF92Fb3ufXu7990dDvrV6leeKTUQDi3s1YHArbK87GNLRfYtL7otJttuS9XeXdW7i5xFXJgzBtevjqxYHMiTeVWSMIm5tHAliVRQ6HGNuPhZnWf7Or95W3BnYZTbWlO43rFMU6UX2Ax8q0FYacDKDQqHHvNoRW6twKoVlS9SeDatshrfKOW2lu8xVbxJ297hXG8zjqKtfvNmz4YXK55RlOeh5RQEsrvylcU6/Ac5fCSPtL66xk0XencX1ezZ08hx0VdXVeUry0ms2iCtzlVU5sqr87AKSliqE5bo0aMLVdbXV/qZrX7zjtAuU3g3Hd5Fhy2FEdOmxPa1oRWkU5fpooTefMJnEFfLZ5Wqs4sXKm1rV/joAgdNu4v2hN/6ILTnXQ/HuArf8G540beCDOTLQzrCKeeXy+YUK2cdUc06kid2vPGC20xX7X7b9tYe3/uc+x3audfktezwbX/dvWZp1SJluUbspGCPHnOQqI0UVVLiw3nUvvxVdL5p/fI/L3qthNjqu4uN/DsYKWPCUiYMMVFkV0JmqcQ3fQy9vDV7wfKZquXT1BunkG9PWfztrPWV8zhvpiUssMRE5jDK+TRMqfqNz0XP7pmr3z0t90/zVjmRwhqEiYm4Br75tICpk+9MkPRx5bo96DOvC8iXs6jXZ1DGyQvefGzZ57M2W8W763EuoGUcMtYvMSdgcwLjAnJTuXrHt6KVlll5q2dSK+caXs2h3hDpC59c+N7EtSfFXK3K0qwujFE7/Ho6SHJhwPFwcb05QG0/Ll21R5C/UpS7UmDY+OSCdx598ehcU1y0KykGs44KgnGIt3vEpoDEHJDQUSmb1JhK5K+9mbNgzRzVC/Nyd8xc/MnjSw/NeiMCmZpwpgZnAwjrwBg3QQcIY0hqiiB0WMKFoCKfxFwtN5drTSeIdV8/nfv+xPxPp6wvE5vjmDkJM3GETUBsFOWCSrNTazqiWv++aNFrT5NrZy0wTtXtnJX72Yxlh7I2+2EuKaFDKBvGmYC40CfhYkIuKWKjJFOuX/cBuriAn7f9ydxNE/I3z9ZvJWUbPlGsdTwF3Rx1738gG/nZ4vWlv8DI0D+DkWBOyYRgNsnnmrO55mxzg7ioDt0ZkxWFNawDf+HNxyZl9U4bowFZyaB5c5b+ZeGueqUpJqMjEi6SbQ5LOEBF/gMbGUlLW38LRqZ7IwnGjzM+jPGijEcM5qNBQVFcYImL2AjORuRsGkPSIbkppGBjMibaCSOBqJWJK+iI1uzXmEunPbt96MQZffv2Bt2b/e7tPwGdmP8+yvgRSwzlglLGKaerVaYqpcmmMLlkJreM9aPmkMASEliCArNfYA4IuaCQC4u5KMTGESaOsnHMDLJJEDaOMxE5E8bpGChqWiLQK18/lrWwd59hIFsS9HMMGjRV90T+26jJSRSFcXMwDSNBDIMSwEifnAbz9d/kpv7bLXZAgx+F2CjIQYqdOr6LzLHpcw4a4BMbVl11ulJXOzqACOZ2qj5x+rN3i/OVTg3q0soq0zCynCKqdVKnWh5QKSNKVVCp9ADrHdymRR1a2K1BnFqVVUNWqVQ2rbxKDaejqFArhdsp3EUiPp3Ip812k1mV+uxDC9DSrWv9hw9cuXGzteNWW/vNVF309Ed73MsXVypQh5pw6KTVenHVAn4FlVOh5ls1Aqua79BI3FrMpcZdGrlLLffolC6tzK7B3BTh0KLg5QxwFSWu1AmrKZGNEjsoyEbBZXnSLwzSHwo3NId9Zy+3Xrydar9xK3X69I/v760C+BbzkrgDwEjEpgdnphqY6/yaiqzS49V6rFqP/p6i1l8+En6CdRGsjWCtGOPCgfA7CiYfpvI5y9jhT0ztmq5V9BktmJb7jpSNo8DXKi6kwygXhZgwBJJgOxewDYNUj1qEbRSZGkRMnZhLirk4GE/poBR4IwNbV5XJr6UDKjogZ3wqswfbejh72a5JwgX9Bo/i8Xr2Gp09QvNm9lY3TCdQuhYM5aBTMS5lkmhhDDPFcbZGYkoKmboctjGLa8xha4RsTMhFBWxEwEX4XETIhsVsEGICEOOTsB4R651nis5n6mWcO7/gm/mqlX2HP9V7tHCyypj9RjHfkkTMcTngY4EUIl21cWGsK60GD/2CtP8lpvd/YeTdGOZ33v5NGPnfiyTvwMW7YWQn5Xg39Xfp0qX9+/fTNF1QULBt2zaJRNLJOt5pfeyefvwKRt7dDDlu3LgVK1asXLly3bp1hYWF0Wi0U7namn7819Dx7tP+r8HI4ouzH/01Gzkc9EZuXPTR7KKWmeZz4JZnDAMq0hhVAhgZVZviwIyKBahJQvuwAqt8WzGx4yhmOo5zlbjZjXNhnEvgXA2e/hmYDcFcAOF8OG2TmyoUhcXSHcdlJpuSi+CFfmmBTw287oJSkx8udMGMAy+yS01VGpNNy7hktBNlPYglgHJeUPDi3AjjgDk3ag6AqNvCmLzAr6SdCpNNVmBVFLjUphBhDMPGKLqzVmKJQ2yQ4IKYyYsYPRAbFrFRqTmmZkNKk1NmrIYLrSLaIwEXfpPQWCc2JqRsQkmHdYURgxEcI2pJIEVRmPZiRoeCtsnpSoIuJdhieVEZXuQQMV4RGxKbYxIuApvDCBdEwLwzCDMhmAnCTABhA2DNBHAugjARiSkiNPoFRg/E+BE6gAODk6QUzFZrILZGxCSxwgBFe0narjRWKoxVCpNDwYTggihkBIMqCkwWPArGT7BhAReZZ47PZSPZTEhk8osLXJjJLeW8hNmLm304yLwFuUrAzSEtzgctOTQwRZPTAR2AkdY1K7+1LNn7bf6LNoPInptVnicszxNX5CJlBrzMIC/XywGMNBBVJFysBXrRygVQqXZ+MZlTnAufzIOK8ySluSJAA1LZVZq5Xio7bBB4dNlOPb9Kn11uyCrNEx4zCA/nig/lQwdz4eMLiBIDXg6M3GEnJXSQc52GOfZ8/slc4cFc8YEF2EEDfpySVuplTlIa1BMhEgloID+J2Um0nEIqKaRcIy4j0fI8eVmurNwgrSIxuw52aoVObbaDzLbrBVY9bNXjdgp2kkI3JXBo+Va9pHqh9Kge+U4r+YHCj+TKjuQpjuTJjuiR4lzkJCk5oRWVGdBSPVYCvHmUZQZFqU5WTamtlLrEoDm2QFuep7aRcjtJWCm8TIuUU1LA01KYVQ9Vk3y7VuTQIHYS3LuLSeioTnxMDx3PRU4akJPpCGsbKXHrRB51tkcn8hpgr47vUc5xa7JtwAUXL6UURzSKY3qyeIH+RK7mGCU9Bg4WdhhgD4X5SMKpkVSrsm0qUDR36URWEj1Kyr82aL/PVR/Jkx/Olf6gJw5psaNqtEyH2SjcqoVdFOrW4w6qE0aKDueRn+avYvIL16/406LXThJbvQBGgt7IOqBOT7ORcvA5DEmZIM4ExUxMWNQgtMSEjAPnKpV0sXLbSeWWSsX2ELq9VmSM8bmgwBwRmqMiLgBzPozzYbQPAzYEUWhHHDHW4zTo24KYBj7TLKCbMEujlPXLTaUq43HljqOKwlKp0Q4XeiBTAGWDhNkv5xxK1iZl3AgTRsxx2ByXsH4JbcctVTh7AjMek5pKFIVlSqNVRHvnAJ6zjmBrlMaQzujRmbwaOiRnkgTbKGXqZKaIwlitNB5TGstkRpfYGM2kG7K5BlFRUsJ5Uc6Gch6IDsCmMFBdmephphlmgxBbitBHkIKDOF2BMQGhKZFDN4u4ZjFbi7BhjPWC8ropgBqDKB2GmIDY7BNZ3EKzA7K4Uc6Dgmd9EO0T0F6Yi2JsUsIAQXuOOSEwx2FLDKP9CpNTWVBJ7CjHaTu2Iyjb0Ygb62E2AXNhiPFjXBBlQxCYt8QEbI2IrZWyYXWhVbWjVG0qE7IV87lqtbF0w4bvj7601zVNeGNkmo3893Vq7bxz/exK90tv5L8EIzvZQoRNiNhGAdfI5+qF5iRSlJDtSmqKQtrNB+cQK+4fMqRTM8obNGPec58u2QNgpBSwkZEcc0gCYjx+U4r2j7rWNBuZhpEYC0Z5BAz6QREdSk9GYyJzDGFDUiYgB8PuLyI3U5gwAeWtjIlI6Vi6bBnSmN25lqMT5M/xevcD9gCDHhz4BPG4Yad4c6XMEpdaEhjjl9IuKW2X0g6pyS01+aSmAAGa0IIw55dwPjHnF5iD2ZZwliWaY4lCoP0yioEgkxqUqZHRCRkdB/CVjsnYyAKzTbjQmDHmyX7duqZ5z67dMuZkaC3zNxYTZr/UEiI4P9HJRjJeBe0FmR/AQCX4C2b4uwnxfy+MTLuPojYKcZJIQAuHVVBQK3GSolKtpOqFhfE/fHi9qen6zdbL7e23b1w9X3bE+tqL5SrIqsSsWrVVK7fpCIdW6tYqvBqFRy1zaWR2LWEDrqqoU4t4NJhLo7RrSJtWV6VVVVGyn7WgFGGjCCeJeXWwTyv2kMIKSrR/iSb8p0/O1ddd7/w8Xvzx3Hefe9ctq6IItxaIYB1aqZWCK3KFlQZRFQVVkaIqLb9aK7ZqYJuWsOuUDp3KoVM6dXKnTurUEU6SsFNAcWrTYzY9OEYbBTvSbOTxhfI/Paf7/g9vJq6cq2kHffapy9dulByNvL7cpYc8GqFHAzt1qJXCKvVohR6u/CcwMu21g1ZRyO8oau38MPgJ1k2w9jSSdBKgnzbd9MgG4C3HpsufHzR0WBde1659H8yYvRDfdExkdOdwMVG6GxllIgj7dwvKRDEGID2UqYOZWoitgbgYzIVQFnwsceBrFVKYgiQdVJn8csZDFjmFr3z6OLZ82JjZvD4ZfTNmjEI3Tl1dLKJrUbaeSIfxKExJmSkppZM4ncSMUdwYxugYRCf4bN18rjGbqxWyMREbkQBqFMzeEDqI0gGEBtM4iPFAnDeLjmfTDaSpPP+VnaMn8/sMnz589rKs1YdRYxjhaggmrqRDirRjEMr6Yc6DcF4gpwfFl+i/3iH5+8NIPp9//jz4xN0NHn6H7d/EJ/9v7vxvPBud+K2jo6O1tbXzz3ae+Tt9iYlEoqys7M9//rNcLh89enRGRsaIESP6p2NO7waNXbt2vdMMeWd/165d+/btO3369JkzZ7788suhUCgajTY2Nv7000+tra2/eW47/4e7Me3dB/ubv9KZyNeZygVErVeupqzFF2eP+TWMHNG3avz0DYs+nFN0dab5J8IUlJlCUlNUboyoQCsHQJIK4EEVh9mEBDiWx7B0izVmdqCcG2UDKBPDQAEoSYAfC2NMEEnPk2BzCGF9OONRsF457ZOZgjI2LGWBwAfc45gYwsQF5njWzrjIEk+bq4dxLkCwfhkTkDEBKe3DGTfGujCzF+X8oO7DNsFsE8o1oFwDZm5Czc0w1wRx9RCbBFM6M8gzkNEBJRNQMEGMCYJ5GxuDmITYnBRYkjmWumxLY47lNN98hs81iIBdHwC0WlNYUxiRGcMIEwIi/59HuTBsDkmK/OIij9jiFlkCIktUZI6IuaCE88OcFwFTVSBrQrjOBezpXCDWK+FiIq4OaCjYOMpFpVxYxoATSwDzvCTE1Ym4OoitwdhahEuKzUkJEFDUYmw9RjfidAMB8pbCcnBb9xF0UMRF5xXVzClKzrcks8w1OVyt0FwvNtdDXBIHdoAJBV0rp5MEiOcN4UD64ZfTgU5j7TSMrFqz6hvzLzDSlptVloaR5blwuQEtN+AVnSZwIAUaLc2Fi3MlNoofVM/zqzI9Gr5Hk+VVz/er5wfVmQH1fK96nkc3363PdlBZDn22k8p26bIAutNl27TZ1Tp+pU5UQcFleqzUgFUaUCslduly/LpMHznHRc6ykbOryPl2XbZbI/RpJAENHNTCfi3k1cFuHVpNoWUGtJKCbUDRg1h1cLqsDPnVkqBKGFDzvRq+U5dj1/NtepGdktgpoU3Pd1A5DjLbSfLdpNCp4btUfJda5FSLHWqJTSOxaQQ2TU6VRlBBQuV6rNyAlxiwEgNWkSu1GqQeHR5QIS5QqoYcGrFHLXJpJTYSqdAhZRRWTmFVFFJNimw6oVuLedVyvwb1awRuTbZDm23XgkO2a7OdmmyPOtunyfGohR6txKUVOXV8LyXw6XJ8OgHwcdBALg1mV+E2NWFVI1aNxKaV2AFVC9l1kB10wSBWCrZRwIHWp5X4NZBXDVdr0GItVqZBq1VIlRquVEOgpK5BrVrMTuJ2knDoCSeFuSjEQYkqKQAjPwMwsmD9ik8XvXaiE0bCTCPG1MtNfwcjCcaPsX6gymFrBFxTjvmUAFxNDVKmXk3Xq0zNwN2ArkGZMMB74IrwI6wHYqMirimHPZvNnuOzp8RMHULX4nQdwjSImUaIbUbYRoSrg7kExMUkYElAXC3M1uJsjZwOaBiHgrVhnBPjPBhoLQnB4DKJCbiYwBIVWCIiS0xkSUjMSYm5hm9JZhUBiROevkg1Jq/G5FeawjK6BmMaEboJZRrAxINNSrgmEfeTiPtRzJ2G2DqEiwFNH+eGWDfK+aVsTGaqIegGmGkQmmsyLZHMomC2xS80h8RcRMwmxCzQOgm5JMzFMCaI0UGMDqN0GAZ18wDEecWcW2z2iMx+kTkktID6tdgchDg/xoaxdI69gEvkmBM5oDW6TswB01AJ2ywCI0wtzDbj9FmcaUA7zyHng7mABLTehCEulp4vJRC2BmVrMYAzo3N21U3f3SBjfZu3HipeudMzZVbbyP7/CWzkfwEjAXHxm6LWzskrysRBWQ68hTVCLgFbEmhREnS4FlSLV/5xWiZ8/4B0YufQJ58yFKkL3GlRK6CPxeYQDGI8/g4m/f23d0tb74aRoHYIAROOhIhOCGhg24OycYIOyWkAI9N2lIDk7FTM/qKbjUnZOMEElayDpA9OlL3A63Uvr//IwU+pHl/wJrK1Sm1JKrmkAoikA1Lag9EelPGlJ7gRzASAopQOyhiPlPFibEDChQXmCN8cEZjDKBuWAxhZI2EbCDqpMUakoPktATFxBRdaZimfjz3Xr2+/vp12dIPGDJWsn7CuRMDFpJawjAvIWB8w10n3RkrT8rz09P33hJGoR4dGNGhSiUXUmEeHubSoO19V8sqyuuPftFw8fb615fbt9hvJ0Kl975TmyioUiEOrcqvlHg3hAriRqCLxchIM1hUkWkGiVSRarcNsQGsqr9aqqnSqSlJRQUnLKbxST1RTMhspc5CEW4d5dIibhCso9NBzC5q+/779zNn2q1dTVy7dshbbX32+Kp+waiUeHerREk6tzErhFXqkXI+V6bAyEi4jRWWkuJyEyym8nJJXUIpKSl5Nyqyk1EYSVlJqBa4DsvSasFJENYnZKaSChH9YJPth+6qK6kO+jiux1O1LHe2p080NzBbnQqlHL/CTQj+JOHRolZ4oNeAnQa33t9nInylK6vfsjey8WEIEqKd40mDSTYA2AHAd4aBjIYav/HTiLGLg4Awer2ffkVOFy9+GCyv4XExiTnZeXL/YIINu53TDc1gKPJPDUjqK03GUSSJMFGaDKBsAdRMwlQwRjE/1c4HDqzE7c1Z+9ji+ZvB4Ue/x6COqwpkrDwi3RWRFpxWWJrkprqHjKlNCDgb9WpRO4iCeJCg1gWFdxMSz2ZocNiFkI6ADGTiyghEfB0sIpSMIWPwo65UASqR2iekEoVvRe8AjGVOVMxe9JwDynjoZm5AzSQWdUBvDOiOg7hEWKHXTZchfeQj9F2MLeOr/Nozs0ePnWLs72GPu3LnxePz8+fPnfq/HT+fO/fR7vda/+Do//fRTS0vLHQT1K/h0Z////41ONrKjo6Otra3zr7W3t1+5cuXs2bPnz58/ffr0jh07BALBzJkzBw/+uWv9zjt190aXLl060yCBlKRbt8GDBw8aNOiee+6ZM2fOvn37vv/+e5fLdcc4p6Oj426q8+6j+2dHdPfP/ON2p6gVtFS2/wwjL/wWjKycMG3Dog9mF12ZaTlL0EGZKUikk4HSbCTwBZDREZyJpguRgEmD2ATMhlEAEQME0AQlpHStzJSUA7lQWAqariMwG5NwUTEXArHGIAA9Jgfm6kEImGCFcSCCiONMQsAl51lqs821afO8KMoG5ExAZQooTSBbSArENeAGRzB+GBjjNYq5UxB7GmLPwOYzEvMZkblZzIGJI8GFpAB/AvgkN/nkJr+UDuBMAOYiIi6eA6aPtVnmOn56siHiEkJzVGgGDYRSOkDQgK/AmTABWkLCOJCqxiXg5aJCc0hoDom4kJgLSwAoDcKsD2E9KOtGwdr7jwvCeSCzW8KFJOCPJGEQmRsBRWoGYGlgkskkYIAka8SgKNaQwzVkmhtzuEYx24gwTTjdJKXrZcD6C2RBK2ifjAmJ2VimpSbTUpNtTmaZa7PN9dlcM59rljD1GJ2QmxJKUHpLIEwMA1aCTinjTh9+wATegwAAIABJREFUiGDCWjqweFvVmlVfc8/s/QawkWIAIxcIyvNEVQZJlR6qBHbicCVYkAoDWpILn8yF7JQwrM2JagQRjSiq4cc0WXFNdkyTE9YK/DqBg+JX6XOqDdk2ACOFXp3EpxP7dQK/TujTibw6yEWiVgot16PlBrQCGPmgTh3sJfl+co6Xmu2m5nrJTNCZohX5tZBHBzt1iINEHSRapU/DSFC9BQVcK9A6QR4dFNBKQhqRXyP06EROSmTTC216gQ2AyRybHvwbdn22S5cd0PEjmpy4mh/VCINacUAr9uvEXlLkJkUOCrKmcXIF+K+Qily4wiCppsRenSiiEYa0Qg8p9JACt07gIMVWCq7SI5UGtFKPpGlPCVBd6eRuLenTSoNaQQAA4xwfmeMlwdoPvuWnESPkJDEHKXHqBU5K4NSJXKTYDQ4B8epwrwb3aDG3FnLrRG4d2O8iYQeYBiCVhvRbQEmsJOSgEBeJugE3i1lJzKnDPVrCrcOdOsxJ4g5KatfLqtOLlZI6SGC066SEVQbJ4Tzqs/xVbH7B68s/XfwLjPyZjfx7GImzfgwUkQMyMP9sEjHnhMwFEXMBpc/KTacUxkaFqVZhiilMIbkpnO6o9KcpxJiIPZXNncvkzmWxTUKAEmsQpg4BTb/1IKmLaYDZJhHbLGBP8blmAdgGVrE4XasyBUmTU8a4JWY/xPkw1gdwLAsKPWKuRsDV5nD1fK4xJ/3B5nONAi4hMgdhDlzFcjqoNIWVpoicjhF0AgPXFMCuMH1KwvwoZM4LmAsQcxqja9OpCmEMSAP8COdBWY8UNKkBtzCMiYu5mixzbaalJsucFHIxiA2j6TQHmI0ARwbgmBDGmQjGxFA2mp4YBNP/J6gWwZxPwvlE5oDAHJRwARScQDDQoWDOE5OwcTGXEIJDOJXNnc3izmVzZwRso4RtSMusojiYFPkR1g+BOlREwoE6OMoCdSRo52GaIaZZxDbOKDr7xK6fcCa4ZdP3ZS+ZfJMnd4zo/Z8AI3/u+/8HNrLTYif6T2AkmIphgN+ISsDHKC7i4hIuDnEJMR0V0SGMccpe3jVtVhavz1De0MkPIq/mrDuaJu6AFBvlwNt/lzXrHY/WOxt361o7YSTojcTABDQsYRJipk5kAktnNqsM3OQinWEGnVrZv4eRgKbAmaCcdatNxTnL35kAvTQeWzvjuY9E220KS1JjqdOwSZUpLDeCGipKB4ACkIlCIMcSEIwKQMh4lKbOixZ0f6V7zEAeiYyOogBG1svpKGkEKQvZXA2fSxBcaJm5bPJsTafLedd7HhzOXzF17ZHpdD2/qFFmjqZLtqDVMy3J8+HgsvRirA9nfz8YaadQtw4Na9CECg+pCY9O6tNgXh1ybAF6fOsLsWN/vXHpdKr9eurquXZPpWfVMxVawqVV+tUyv5pwarFyCinWw8cNcLEBLtPDnWqWCtAbiVWQWBVJVJJEBUCAeIUeq9RLrZTCRirspMxJAk7SQaLVeumRBVTV1m3+P+7z/PXz2J8+qSlcf5KEq0iRkxK7SMilxZ06uY2SVeil5XpFKaUoIaUlFFJCQaV6uNSApguTeJkBq9DjlWkBaiXYICopaSUlq6TkaS6UsFJYqQ7av0gW/nTXTxcbfwTZIDdbr11M1YQiKxY6tEKvXhDKhbwkbCfxCr3sZC5xLA8rzQVpH9XUb+haASH5P8BGdqq+g2kwecfaN4LTdXJjA7ndgS57+8ksqnv/+3g9h0yUroK3HhGyIYiLpwmEn2XknRdIutQSlKeVq+kwyaiUjuPgwwzSXFFgchOWAP2GRwqmNSCKRsn6kU0lwpf/NCPPPHHhe09vqpSANp46lblRxdUqjBE1HVEAxUECo2tgsI7ITAGZyUfQfpgJCZmogI3+omIFPGQaRoZ/jo01xTEwT/WDSZsptGDL/8feeYDHUZyNX2BjAwl8IflC7IQUCMVAAAcIScC2rHa9qdjS7Z5kyZbl3uSCu5GNLd3u3kl2yAc2kD8ldGPAdgyhuMgqV9R1/VTcIAnBNHfdSfd/3pndvb2iZmRJNqfnfUZze3u7e3O7M/Obt+29+w9pcVf94j7lqtQtVWJDu8zQlgqT11Yl1T61xKkrbsjQO2R0mxTo16tAxmChS1E9keSlxkhhLkEcvXPMmDELFixYuXLl0qVLly9fvuzS/y1dtmzpsmXLli+PKssH8Q9dBZxv8eLFe/bs4dEuDJy6Y62L3i7U/Z48efK5555bsmTJypUrFyxYcPfdd4fh4lVXXYWtVa9Cf8J3R4wAa5Lx48dv2bKluLiYoqidO3d+9dVXfr/f5/N1dXX5fL4LFy74fD7eirWHrxb2Vg8vMUbCQi+HkScf/S0k/AgJsXNd1biH1k5//k8RGJlGuSDXHOc8gqI9e2VMq8TQCg7MECQcHliIAKmHOJDpenD9gBRZwJwescEpMjpFhnYp/ZmSateAX5A9BVkSyZH5pZpySw3eRGNrCvgZwtRNwbg0lCNDb0/XOxBHgVlmGlgJQfZmMdMmZY4qmOMK5oTCcFxmOC4xHJUZWpWMS0PbU8Ewpxn8nEERZ0PqOJsCwNUhMrpSkDGqnHEomWYV0yg1NiWjSaqCsYkYZyJMIp1oKdmhptxyxo10BW4pmO7Dd0HX5lDQNjkDTjFKkCYl8pHhKjDBUKIdwMYBAmLbVIxLRXs0tBP6SbpBQzeoQE3qlSMRM63JhiMJxqPxpceSjTii5jEVdVRFtakorwaMJsAvALn/eJOxbtPQkgLSjoj6Uxl9DJKywNKbF6mL3QqmUU1b1UwdKGNRJMIptD0MI83Zkw5PS6zKTrboxGZSBB4fOlElCDgNgtmnTmYiJXVZKY0QHV3qmCpyTk1yTk22TxU1gs2RxEyKK3UpVbokE5mIvFpUdVnyhixRU5a4OVPSlCltypLXamUmAtC0QqdARrNpZq28VptUS0y2EvFWYnKNNqFGm2yFWHQyEwF6SAsBGFkBa69AodWk7DApqSQlJkJi1UrqsyQ1kA5EbCYgPryZTDZzDIlJsp5IsGUCRnqmJNqmJtdpRXVZovoscV2WpFYrQ+o+OIuJkFWTEhN88WQLmVyvTWzOTGjKSqzXJtYQSWYi2USmVJMYsCVoTzF6KTVp081ZZE1WWh1AYGID+kg9qEAT67RJtdrkGm2KFex4VRZCikA3xYJ8YRAhAw3WZinrsuR1WmmtVlyrFdVoxVat2ApxCiUV2ZJKnQTDZKUOeL4KZggKC6GoBQssdQ0cVmkmVNWEqorUVJKaKlJtIlQ1hLwWyDMEI9dyGKkwHhUzR+V0O1qY8GooyEGgAWsCoJpUqjmzxJ5R0qrWn1Do/yOnP1dS/9boT6QihkzXOzP0DhQWxJuudyDFuEsGybSOJxtOJBvbkgGHPBKmDXxb6CNyuh1CT9HHZMynUvpTCXNCwhyXwtmPKql25GjdrKIdIghM4JQxzWDIwDhkjFsKlg5tEuaIBLgLTExTDEclBg+gGjKvQ5ONFg0FayVKsH0A0lOCydJxJfVvBfVvBf2pmm5LpVzYllsJBhF2OTyDDZDyWg/BGlSgWYU+RAxKwjYF41GjTgMt7tgUsL4DHZcSbKzc6BSgi0I9SXMq1aim61VMrRxFwVSAvZVNSYOZoZJ2oBkRWGaJmfZEw/F444l446dJhuMS5oic8ShQdE8l+r4Q+IpxioFRnXII11KvoWuVtAspVz+TMp/+sey/47f9V0PbNm3YXbWoxHbP3Z1jR8cwsjttJF7Rd8gZhxQWJFwSxi2m3TJjq5RpTWJapdvatVSFYk7Zb+LzfvHYtDszqQkrPkAGMy0K2qMGi1YhKArrkUatwXeVDMxxJZRXRLWL9EfE+iMKGnptNdygXqQ2DJ8rwy2C1J5wuxjsaUxDWolJvaVCuaVKTjXKS1tVxrY0umUqpBBwpAFGglG1lHZLaK8UpqctGsqTRjmmgEbelapvVYOypUUFTvCYhD1yyGPZkkrZM0vqZYx9UmnrZBhW7WTJ4YdVq35+d/wtv5v868R5f1i0K9nYOqnsPymlJ9TwDNhQ5JJmmDrD0kgzWiBpRg5vUWbAA2vUCq59aMmwRitvzJTbMuWNmaq6LDVabBMfzEzYRUw+sH7uyf3vnaz86FRtxelP9jhWzqsmNTVT1Y1TVE1TlNYsWTkp3q8T78+WlMMAJqkmpNUEuNeXg+YQlkj5VVJkHaoyE6lmItWiVVvBSVIBLog61f5M9XsZmr152btn5nyUlwnAOTXFAsmUIbxqDdCm2oKAsILMKCcyyom0chQntpyUlGdLDmVLD2VLD+uksEIJS6dyVAJVVpIqcI0ApAR3iPIsyQe5Ks/TT/7Lsv9EXcWJmk++KN93avcr7plT66cmN+pE9VpRTabIQigqSfVBnWp/trJcBwyJgqpDRSAKEyGvHsS8kUiBxmoRuayqMOmBJBnQD7aqNrcRhhZtsUlV+MK9KQVjfie6U7Mmed37KaCyg3BWqWg2yTNkGEaiHhxsztFinltOw7RMgmxLFIZaCA8LwZndqbQnjW5W62uSSpoTjEcUZZ+mM+3pYJTlToPVd+iRYS2QbpFSXgXlUgNGNqupJpgV0U4x4xKBU4FTzDhktENBORSUWw57tij0gJ0q2g5+18X1GWv/cY9o2c/u006Y8+LUbXZJKSQKUjNOOeWRUW1peidR3Jihd8lhUbNdTkOv0neGvNTayB07dkRiJERAR3+jRo269tprR1/6v1GjR48aPXr0YJyqpy8j/LIjR46USqV79+798ssvw/CpX6wotA71oz/8cawPxPVAIPDll1/+85//3Ldv3549e55++umHHnrommuuuf7664W/Du/oePXVV2Nc5B0jMToqFAq5XK5UKp9++ulTp06dPXsWJ+3AikeMkZ2dnX6/H6tAw74XfslfUtR3u9vYFQh0BSBPAGDkKTBqDcfIm+ICP0cYOeP5P5Z9+4dQbSRaWsUjNXQdahA3KOtghgdLq6mUJ13PCmSlQ4npcPocBYTjskvA+qtNynwqp9tUtEPG2EVIsycDvgL/PSXjlBpcMoMDVj9hI4zCKHiyQwPefY5UypkGgRDB0QM9pF413YJFRbcowUrIg8Zohwal+FIgpy8VbccmnWraBilwUbovNdOURtenQwy8GiXYndqlDEw3k4yu+FKPxOBCXi24C3LKIDoghCFBmY28atoN8S25g6uhnxEIMspAy9BOJW1HSoYGMEmlbRARBL4FBFRXA3xCfGyUe8kjoz0SAygxRGAqDLpZlI8X1CYwyYH2ARtdFSzMeaXQU7XJoW/0yBmvHBnCKQEPYOqiomC7FKLiN6bStSq6UcY4YV2e8WRwGGmciX0jRQgjE6qzk2t0YgshMgswsooEekEClqVmraw2S1GfJavPEtdnSWqzZNYsuVmrAE0dqDFF1SDyarDlUYLvolYKO2dKGwCWZFZCaiJkFaSyXJd2UDflMKGp1sqrCUkVIapERpiVUBFXIi1oNZpRmOACYGphJmAgPqiTHsyWlcMSM8wNqrXgNokcamQcSSYinSSUtURiQ1ZSU2ZyU2ZKjVZUBTMKCag0QTWqMmkhyZYZKTkR3YksRIqVTK4BnWFSTVaylUiB7GXAcsCNiDNZxq7SiRFja6qIKVWEphp0hilWJHimYdaKq7XiasgULYdRHr6CxAQHkZoIiOlg1kLEeFQCLZvhqiRmrdisFZlJcbVOXKEDjKwmpRU6KbIrlh3Mlh8mFCZCZSJUVbCYrqgglRWk6jChOkyoD+tgZmIilFatrIYIw8jiNQtem7ESfCMVxqMiBsY4Negz4EmBxwpUcIBAaZQtq8SWVeKYUuJOA9ZqB6HbNGjtAz1BjjS9K13vydC70tFqjgqp6+WMR2oAsyCkovdImRYZ3SaDBVlQFarAP6sV0k1DcHi4sRWweutVgebTI4VsCzA9kAJDgjIJreG61TAEtyjpNnRvtyggFA2mNaeS9qK1lTYlqCJdCsaBE/5pwOGzPV3fkkG5wFcFlKuQ509JA1koIG0BTG/QyA7IgCwO3GhC7kkDD21bOtWUDjr/ZshFjxx8gpZWNExI0kEDZJuib0yn6tIoayrEB6rTQH4E3IY2NW1LpxzIZAPmLSlMa5LBm2yER1vJeCC0J1OPdDzgEomtn6SMC9azwHS/PpWu1VAOFdWupo4q6SOPlX368LYTaXTjk4CRVPM99/pjGNm9USvmHPglWPUFhOx3KWDZzys2tEqMbZAUcVOVaNW+hBXvJa/7RLrFClbLtEvFuDSMQ83YQQyoxHW2dKiRA4aacUUVhP5uKeWV6kGQR0eLCm5xuMt7mErC5JsBUcFCAtjCSQxeqaFVYYAxBkY7PQx7+GZFeRHccrS2oYFREN5NA0uhFrQ0gpWfcONy026XGhZQG2SMLQUcml0yxpGqr5Ou/iBh4RtJS96atOL9+KIasbFNbDwqNbQiJy52VAPdOhI5KuFRiWbuO7AYyTr1QYcot2jlVhCFRaus0cqtWeJqbcqBzISK6ermFbMbls+2r1rgXDG3YbYOUlRNlddMUdROkZu1sgpCXAHLjYCLJkIKfSshrwbLExmytMGrgNC3on4ZluKQKOGkbIgaRVWWonyKvIJQVZCqKrgMSLYB+Ta0YjMpRbYx8EETuMtrKsjUwzp1hU6JfEKkh3VAsId1EtSJSyt1nHBGPuhKZFWw/CmtJKTl2XLLAp1lVYFp3byGosWOtfNdS/IadIqaTJEVVkzFVvgW8iro7pUVoOGEiKwWGL1YsaCXaCCRmwYRI9ESjANM/1mxKUA5D5YtyKHXqdG70w1eNWXLKLGo1n8Qv+iNxBV7lMUWNC1zQvAGgLQQUcNaHUzX0ITPpQHjbTzphPU8eARgRRBWN3AsHxXtVYF/fIsCjEBaUyA9QHsqZN0AQwDUj8PCCjIUgVkRspuFYAA4AawCZxzBnkso9QgegfC0DAXIccPyIfggNWSU1EhWfThh8W7FZnP6Npfc6EYR0hwyyiWlPCqwkLFp9GDNq4Chy6McTtrIHTt2YCARJhIUare+z/UbbrghNTW1rq4uzP7zO2IkJrGOjo4vv/zy+PHjLS0tR44c+fvf//7nP//5kUceeeihh+64444bILkZ+8cneOR/KfzGNddc85Of/ORXv/rVr3/967vuuuupp57C+T9qa2s///xzrEfFEMvbzfJX3h0NXvT2cIy0RMPIsddWjXtwzYznHtn6zcMcRqqRUStOhIPnVWipHp5ueAwZvDrsVgHyuTV6LvkW5VKxPQBM9eSMTQrikjItchjcgdnApRnewiv9QGJKkGYU/Q7mi0hwrmkU/gB6FS8SSO6KlnqDJevPzHZNTnRtgH8KGASdYG8PvQf4CoK7IA1R6NKohjSqQUU3cxMPiBYmMrhloAiFyAh4kQiZO2GUdXHry3g9Gh0ZBbpEkIlQE5bY2KtCHwffAQ3dpEHTU9Q9QtQxpMFw4EmzCmk8+PxJmNLRRqQMAfs6lwouxgGeqKCBgRk567wN7QxcrYZs8pDCF0yOUZeoBLiF/lYGxv8Alhk0Nmp9l8dIC2gjE6pyki06iZmQmEnQuSEsxOOs3IRIspJUVMP4pcT2pWjMUphgRVWJfPtl3DovGApVQyZkACQrsk1F+jfASDMhqwL+UR+GtCIaWJMlFbBWS0orkaYRVWRomRjoEQueXVQhzeRhHShIK+AjQJhYEHOy5qZmMgVJspVIriEAIGu0YhPoSyWVpAyi2cHorzGBlwoo9KyEwkrIrQRcHozanFjQ2I2+IGZUAGxQ1ZKiKkiOjXAXLh4QuhrUoVgkwIqwEQRdGIqfB6eG7egbQaNxAu/i0BKoAaHxsWkxti6uIGFRu1wnOwTfGqyZYDqBGuGwToFCIilxiY2nzFqZVSu1EmCi/CFr1Ioxcr9qY4PCCF64UqYd6bchnB6Mj+ihU6DhO0NvyyixZejtaPoK0UDQKM/mXVfDUg4kxOIVfUh7YUNKdbscnmhAIzncfh5UovUmNKDjOCOAnQgUkYrPg1XxEN+YtRoFjOQcZNDZYSUabn7k5QtAiEZ5uP+RIFUkICJMFTRgvuROQ6N5GgUO1WiqALiI18qxtklYh+hTelcaiAMtG9mQRRXMYXiMRC3gRNMbtIwFjWPDXQe2KUBWDwgjQZeDgqqA0yaCZMaDtGKgr0L2kjbEkDYFUANYX8qAIZ0KsBkEPRA6uxNHRVFS3gmlRx7ediSVri/asPvwIqrhnt/5xsaMWrv1jeTno/j35vQklEtBuZRg3AI8KaVaZJRHpodg1irGoUDeDpDxBhC/O7GjWyc6SkEXTzmxB61c75DrhQ6WPTEkGhtg7JRBXG+vBFjXKzF4ZWDxglZHYBWEVXuiBwAMVlHEbZSVDpn6YOsgtCAElj9okMZrJHhndt0U5vewVgTPp5hyQi51xptc4hLpXbAGDOs3MNVGAuMljJoCQc8k37zByqXASNwhonAy0L+znSMhrc6SmDLFVvABkNVOEVuniK2ZMqtWac6SmzJl5iw5CKwRSi2EzAr9oAxFssELdVCaCNwL445YEIoGgSseZmDNEoXAsRLSGq0ETDvAplRqBpGZwKsBdeLcR6qxplGH9I1QyiqQoIEBwJUXtBiJ1yNhQOJEatJKanXy2iwwXnXnpdpzVNYsCaJfmZAJ8WKqmTsvGobhS8EoS4AHiBXV+xapdS3KG/nad8wbCd0xsmNBtv7YMwFbQTcqGDDQUoGtl0MOu7lAnb7FriiBjhVW3aCHxX198HbikBL3leHb8dQTdd/gVcXdk24lDBJeCMxD4QQkwqg20BXgB437OBwWbRScBU1V+R1wRXAxaPyjbCqDW0q5JCV2TZknfZsXbHgom0LvUOjBe14B3lAwvOHTcR8P/xY9bL/URq08pXDYMnT/URJ2lOscskNDBcsQXdGIESPGjx+/f//+MPtPHsb4XI7dbRFSGc+ip0+fPnPmzOnTp1944YXCwsJ58+bNnTt3woQJwm/JKx6FG3H9uuuuu/7660ePHn333XcvXryYoiiGYZ5++mmv1yu8Tmy26kN/GCaFFzPg9V4w8qa4wE1xgbGjq8b9fvWMZ/+w9euHS/+jAt9Cu0bvVuuRYQ568NFEEI84qEQYyY1B/HanAjEPlAwWcJNGC0mgD0T9D8wLuZERD5fsIhHSIYAlAtbFoQpMy3hRsimLACYFApo9bmcYoIOChkhB74H6EA50I/uZsIed+2A/+oTQI+AuK1jyB+Q6Q67zwVYeqC9imzSseUMzb6tpPHmAeQU3i+CmT+jHwiZ5cpScSc44ptBNyKg1HCMrc1JMYLyKRkkwKwXhQ77ByE4EuY4HvB4qZk6LyA58MPzBAfnREBGaAmkv4eCgXQRBJ0Ln4s/Oju9oAAWzHWTsyqsr2WvAK7Nw/WBkayaB+pAA3WH8qyZlyAJIbSJAzITaQqithAoLh5QKZLKES1VtlqpGq7AAXbPH5EZ/UTUYuyajUoR0oTxGYlYMYWD+u0RtMQ4jwXCXE3b6xK5cC4AZ4zRa+AaLXyys1SuJYgGC4lck8I0EjMxfuV+9sR5jpIRpU4J+24UwksUtNDvFw6VdjZR4eLmWm8fi9R12TsttZPES74kWgICm+IeaO2bIbkiz4kAzVbcCJVrESx5oaQk9sNyjGtrPoMktO9HlOxn8gLNLRfAowRPt5Cz7BPOE0CVvgQcc/gheowk+njhcS+gjzD/7wt34rwYtg9bHYeaPpzpo9ZzFafQY8vaxcP3st4a5Ov9BMNFClsZgyaWgXY+VtT207Yiarl//xO4DS6ia3/2u4xfXRRq1ena+1eXzf+33fePvONdx7oLvwgVfx3mf/5zPf97XccF3Hm+5APVLK3F9PAG6LLgU4XAoGPB69o2EX13Yb3bzO/E/GFTQIp9LDknk2iVMu4xug3knTDEhjBsIWtgLL9ntvWOkkoKZsUJvU+htIbdX+J0XclVwi8NCgkcGqe2AJJE7B6inkRow+uiInltsDoRLWLwET7MgRnLKFjY2CaybYjdOCe1OAefjI0mGoyIwYvGixkErNHAl+IkKL7tr7UuKkeBJj/zR2cVCAmKu1mXKGqdKmqaIG6dI6jNl1kyeHsHO04xoqgb8JViyQmuEgFiYsviOmKvAgMcJACTGSDMhtZKSWq24HkgSIp7h4RC/izpx9lPVYDwjRY4HyH6V40kOgNnlVaT8xENIinBkMpPSWlLaoJU0TUlxThG5UHw5a6YYES9egOQuCbJ9cN8CESN+iRkSvi96d1AxEiZ2SPcIDrThomQaFXQD7ABOCx4ZeA4cQYp6N6ckjPIUh7FcNzcehGRkF9HZ5wsAEhZT0Ip+2EEi+wfhYWEg5Dy1IvdEzzJ07grKLkNe71LGoy4FG3jplnpZcRPoUvTw7MspWEBFCpYeBp6Qxz/sdJcaI4Vmk5HQMjRbeICEiF8IJofiOq666qq77757//79Qkrstc4n8MB7YqdHPIp9/vnnBw8efPnll1955ZU33ngjISHhxhtvvOGGG6677rrRo0fz6IjBPire33rrrQRBZGdnZ2Vl4aQdX3zxxcmTJ7/++utz587x42ZXVxc2oO0hlI5gYB2AajhGhhm1BjFy/OoZOx7e9vVDgJHNqRDXCmEkMmTFxBXEM8G4I0fDEFc6kfUBNo1hMRKhY5OCaUCrVzbktx+cmAomnXhOhjGSR0cvZ8PpkTOAi1xKnpAKxkjsVym8SHxV2N8JYydaz4KQs0G1HuqR8MIuXikT9jZhj3w/X/JKFZ7xhEtmwb6F79BCGBI1MvsV2BkU21MJMBJFled+I3x5SC3pgck6p/SYGh0jEwEjs4F/YHjFK56hId9gI6ce5FmIG4vRp/BnocQjLMtR/M7swbmlXkyVIafjzxt2au6q2JlA9HdBU4quhyVJjvfwsi9GSinsA0ZMOGwexkiNlQDhkbJGq8IfsI4sAAAgAElEQVRSqwXHnFqIqCe1BPWNGBdFSOeZhHwywRIViQR997DW6O4lS+kCbSS38s4vwXMV3IaINkFVC442QZHhOQw4T5LKahzilUypCobYKV674LWZK/drACPbUwwQv4rz2nBALi7Qg2H4AbUeUndjGgR0xAo9zH4cHwZBUcCT/IMcXAniQBQjaMh2tJDNTVZ5OBR0JsKHN1odK0u4I+APcotc/CyiLw8pvzOqBJ/TyM8K9sS7YTUpzsjKf32Y+XOqHVj5wibr/PoXv8iFUBM+y62joVTVvE0BuPM4MUaqmPq1Rbs/LqQs999//pZwjKy446fuGEZG/lpRt3Bkj+3NwEEW3aNg/RIOkCFU2ReMdMJUUm+X6+09LkIE+3p+KEU9uxvcgpF6mtNQw6gZNijiJwpDI3LeYGESRysBjETAjB5LeN6UHEaiIFoQDUgGC4puCFkOM3u8kINCRIIGMvRxErzsbiC8FBiJh5lqbuWMtzkB+w1CadEqrJmymkxZbZa8BsKOKS1oI5Qg2LaExS0hQ3aDkXi4iuyjcZJGWQ1SaeLBL9poB8t+kQyJ6Bf35pEYicxaCDCONcHypNSWn1ZLSs0ZyfVZspqpEmumxJwlDRtr2VOjATJcDwne8MDM/cPI2X8tWPCdtZGAkTYcdozDSKyTRNpICLoITrZKCD7mUDJujbFFDQFpcI6pbnX7UZ/ciI3d6fnZiVF3d2zEcUKex2jvgm6fXftENiQqo0ttcCgpm7ykWVFiU1JOJA4F5ObGYHyRX+2SYuQbb7zxm9/8ZigY7fI451133fXJJ58I0ZGnRL7Ss04SY+QJ9Ldr1y61Wn3//fc/8MADDz744E9+8hOhcyOPkbhpeIy88cYbb7/99vvvv/+2225bsmRJfX19U1NTfX39sWPHfD4fH5sHV/ir4n0yB4AR+3CIvmHkqKpxD6zORxhZ9m8VZOawqfRulZ4dsPixL+qgwzEkttTi9ZBCjGRd9yHUBJhyBadfYXWki+AZMlhBCUV6wUgMTpFXGNa3IJKEGWG03gO6l7D9u9ttwLezehjBOC78Luiq2J6Kw0h2JRrNIoIdI1rsBoYEyykoHVPp5mjaSB4jEdtE5TSOEnksjDaq4uE4CEj8zjxDwqfAXYVFze4PEjGy9wyZ7OXxpq280RBUuPVfWTSMVFtBJ6m2gFoSMlHXgDMOKxAKVSsHA9dwjOSPyes8pf1hSPbbCfiwW4YU6CphnwiMZJGSxUhQI0vMZEqlTvxBDvFKbqEht3idACOTDW1ihJHoLgrHSJ5q0PSVB7/gQyrcIWKKy+/Gf5Cv8G+x6js0YgpmrUgrI7zJL6IuwLx+PLlhn+JmAsGHSPh0R+zMzjGEfRdqIjyjCDGg4AASw2dYTnt+4gGuAcg6Hb7ChNL2h7cdUTL1q4t2f1hIm+9/4Pwt14dpI2MYGf2nEv5sfB0bNAtu3GDA1YHASGeEUWsv14a1kfheR1bObIIpZOjsUEJugygS1D3CjFwgIRgJH4QZPEz0sYBRK9JzsiUyWxU8hN2MNz3ofi8RRvIQFdb3VZMKcEsAh0kF7qwxPeI6jpEDwdM4saBYanwJVqmcpU1kJcpQxA853OAXuU+EUSvWoPLmuEKM5G1axCYBRjZM11hIaVWmCHtmhhkCRZ6RV0KCHhIJVkX2DSNVu7NnPDdjXdHs/ytY8Pp3NWplMRIrJHmjVrYC0QtD12KQFh188VGqYr7L6+UZ4R/eIaoEu3joN8CD2qFCM1c1+GJhhmTL73iFlxQjnU7nU0899dvf/hbbSY7i/q4R/OG89peovGbkyGtGjrx65Iirrhk54rpr40aPihs96qrR18SNHHH16FFXjx41YtSokaNGCS7nklRHjx7NJz656qqreA3tuHHjPvroIyFGhtX5UK78dgxyPp/vPPq7cOHC119/vX79+vz8/KSkpP/5HzZFcVxc3MiRI0egP0yMV199NY+O2FV1xIgR1157bX5+/ssvv/z222+/9NJL9fX1/In4Co+OWAmJt/cB/QZyl3CMtBz8IixSK4TYGVV1dxhGNqv0LpUerGa48HJ9GXrAWCtUhCMajGsXh5F4Xb9nbWQfMfI7PvWX7uPC2UXkfFoIt2hpDzEktmnifiN8bcLjRGIkl/ADIrVy2kiWACMHr8tkS1Te41WFEFyHV0VyRq2sXSsyalXWIIxE9KiExW6wHoIUjqEYyaMjnhiIkSVtv5uuL3rIiHlUdIxES/ZIGwl8LuUx8u+Q8CNEG5kEqWVa5CibBYTTE2gjo05ZL9HGcIzsfgYbef93t0X4XFy6ZzP0yME5RmhDwRwJRXkNrn9Bx4XsArjrFH42dE7FxZVAGHlUwdSv2rj7w6W0+f7xkRhZeefN0YxafTGj1qjTU2Gj45hLYZNd8FmPkD5qIwcRIzkfBt6Zga8gp14WPjmMZH1IBOMxIOUAY2ThP5mZ23fnLbES0npiolU3wUJORv0m6NYuTiK7SBProA+6RyurgYQKJxBqNVJ4tjRhktTKoBIqF3eFkRjJmbNGaiODGIkGDCnqqaVcnfWF6PUyeIzESbEgNjfHk1ZC3ptRK4+RTxcseGOAMDLoD8npJLE2MvhkoQiELEBevhgp6OKR9Q74foR23D1asIeOHFF6p++Ekd2QAu+nd/78+XPnzpWVlS1YsGDOnDkFBQWz0F8B+hPW8Za+lLNmzeKPg4/QXVlQUDC7oGBOwawZs2ZNmzc3Z/HirAXzdQsXZM+fmz2roGDR/JkL5xUsmD9n/vy58+bNnTN33oD+zZ0bPODChQs1Gg1mvKuuumr06NFYJchjpBDVMK2dP39emIaRb2lMcUePHn3jjTeeeeaZHTt2GI3Gn//852E6RkyMOHUHro8YMYJH2bi4uAcffHDp0qVz585tbGwUHrwz2h+PlEPCkKAIDYvUijHy52EJP8Iwslmjb1bpnSq9EzlTwc0vhJPupnRohIphZJS+otfOpNcW5qahcPBwbSQXSR6fRfhLdYeR1uxJFTmJVaxRa79ZqNdRb3B3kHKKR4yOWGeI61IzzED4FNC8byTGSHZaItRGWiEAHnbp5DES26/yGMnPAfo9U4qcIEUSY9QtkdpIbt4SHSPpXPCNxEatcmN7kqEtBaJ4gM0kpBuAEDusUatglIyiAhnYd2MYyTvdoIYNn43gAD8Tytof2nZUztSv7BtGftvpOw++kR0XwDGy8xyUV5BvpJzuPW9kb91rKEb24BWJYTKoUcGJNKJ36JxhWwwjIzFShGDpUmEkR484VBpa9gvVQPKqSEySQ4qRQgsWMGrlBExb2cg9feBtjJEosxMyZ8VGrYgkrQTEqhWOuBadAkstkVRHTK7QqZE2cn3R7EHASMhEjAUNMzxG2i9TbWS0ITC84+6t/4negXDTNdC9SJkmiaFJBLkBHAuKy+fnlby24x1MF114Dt8VCODkfXhGj0ueP0IrPEZiZdoXX3xxDP0dCf07elF/+FB9LI8fPXr86LG248ddn37q/exfrk8/8372L++JEy3HjrWfONb+2fHWz060f3r82PHjx44ePT6gf0cFB/zss89ef/31X//61xj2hNrIjz/+ONJs1e/3Y4zkvRADgcC//vUvs9lstVqrqqoMBsPvf//7X//617feeusvf/nLuLi4ESNG8NAozPfI27KOHDny/vvvnzBhwh//+Mf4+Phnn33266+/bm9vP3v2LP69wlgx7GXoLzzYr7rFyDFxYCj1YxRi5+fXRGoj1XonCKfpEsJJ/zESL4xC2b02Eq31gMeUMMROyLp+TBuJe54BwcjKKxAjMekJSwkMr1G0kawta3BColVawekGqyKx7wzGSP5ovHoTzwT6baB70QwZadTKx6pF8XKVKPt0iDYyFCPbkoytyQYvSjIBQbAgFw6HkQJbvxhG9jTcC6YKQioRNhrMLvqmjYyu6MIxoieUIow0dI+RN8dV3nWze+ebXT7f137ft50+FFCn4wIwZOfZKwsjG2S0TWRw9Zbwo+dfTviD9UUbyWtU+oSRshJ7aKTWni8GrchynsFRjFqjWbQiEwKIYtytgIakz9pI7uwRIfK4MFYoCY9w5VJw97tYo1bDkWklzkVL/8nM3PFe3hJLiDbyO2FkpHVrVG0k9orEToORqkh+C6t+JML1kHi7kL76Xg/XRiKvA8H6n9CoNTpGYg/JvntE8BjJayN5x0iIRtsLRkbVRrokEGqil3s1cgcuUmt32sggRrKpF2HZElYu1XB/DhiARXgawGM1UBK62ifs4nF9wL4FGjAGHiN5yMAogl+GYcl3eckfv+cKZo/Orq7OQKDD33Xu5Fdn//NFx9enTn/1zZlTpzv8vrNd/lMB/9kuf4ff3+Hr8Pl8fhx7dCDKjg50QD8csqur65NPPvntb38blvjkzjvv7M6oFX+1zz///MSJE//+978/++yz7du3S6VSmUwmEonuueceTKR8idN1CM1WMVvecMMNN99885gxY2677batW7d+/PHH77///oEDB/71r3+dPn0aG8fi2DlhGlH+B8JekT039aV+NxIjIW/kz+MCY+ICP0UMCUat14T5RqbqmzUYIzlNF2Ak9mXqYQxCEQgFRjQOlIYKZxViy75hZAg9YotWQVKfkPg6KhTQAu2DM4ZzQyF3td2NhpE95NBu6baFI8Z0PsxYcFIhGA6Cx4nmG4mNWq3Zk74fGInWfyGga9Cu1QI5PyAFFxegAYdpgEgNgkAGvL+lECN5PWTI4m8fpx8DhZGcHhLbT/WujVQY25KMLclGrwRyyMGYpQKj1maUfiYynEfkoDlgW0AbyT2V3c5ge+hewt6KeC4G6/kNztj5qTuvXYyCkSiSH9cL4c9GwUg1pFQBUpgIGHlEbqiLro38X1j+qxp3s2fnG10+3zedfgFGgjby8sBIfr1cMP6xkVr/6wpsXLJzes7L+avLp5bUS6kmkcEBGImmiRf1G+MIHLjso2MkzhvDhu6IelJeGykrsStCEn70MjXHHTQu5TTrGAkhduDxwLkKhBcsrPdw5OBuKDExyuaHE36gw6IAUDjwMZ/kQzBShj1a6CV3y4afVIiRC5f+k5757Lt5hWZCWkdMtJITLGQCMmqV8RkOQyp90Lzh/lTYXYKTPYpTGoy3xnswokqYqWrfX/ax7w7bDTCSk9DumDdqZaNvm9gY4vwaJBvrFZJbclHpwg4e9SVv1BolgBBgJGcYg2KXW3RKLEgbGV+hU+7OzntuxlrON7IyjbKn6J2S7uNDRL3h8UYUTAzfXc0KOlyUnCoSKSSx/WfwzhwojGSnONFu2gEYV6CfCbvmyJfhD0UPLdbzW70atXYGupBCkrMs7OK6TL7CbYj8L+xmeSz57pXIE0VuwdnqOwIBX1dXwOcLnD796Vtv/uvvL/97956WDz/6vKWtoytwKtB1KtB5tquzw88S5ABiJJ8MAweqOXDgwO23385TH67cddddWBvJt4kfYSf+OmfOnHn++efXr1+/efPmJ554YuLEifzHeVwM83jkd4iLi7v66qvvuOOOadOmPf7446tXry4uLj5x4gTPhH6//8yZMx0dHTjaKr4A/C5/McKfL7KFB3NLnzBy7KiqceO5EDv/UUOkVkipqoFMaALfyN4fW36c4it2lLyKH9RsKA5k5FPJbum5f+huXLu4T/X8dA/+uwP1LYLH6QYjIdyobuKVhZG8OWtkBY2wbLDWYNLpYGTa0AkJtx0P97wbJO8JyU4Doo71PW8UzosEK9d44tFtyX+KD14YOm/pFiMFkVoBI5OMXrHBJQ1iZBPGyFAQCiPGbp9TNB/o97ssRvbejfQyvxVOFbrrEy7l89vDFxdqI0O+BXedYZ8NLtAjjASH54mlbQ9ta1cwdeAbCSF2Qn0jOYz0vv1WwN/5TWcnh5EXLvh8532dSDpQtg9IATIIcjEJP/iREo2FMEh1Bfx4XPzcESha/GZezov5aw5NKamTUo0ixi6FpHMDogTobg0g7NYP/jA93EmYJCFaYz+vDd8NwZ6aeyS4u+Q7TlKDsYC5hHsXo6jp7oujVCUtaUxbTrFjfuEH1Mxn38lbaibldWS8VTfJQiaxFq3Q50YIqei5lxS+GxarjVU8olhwIdHbSJQcsvs4OpGRdfgtwtP1vY47ZdwRw0V2nxcr1ISVg70+szR/SYIFTjZvpLA1qgFK5ch/AxrcolNZdGqLToUwclKFTrE7J++5GWuKZj/FRWq1p+gdF4eRKAswG2k6LPZahGULG8WUVxJ2d0f1dzv74KB1ROFgMAD1QV+b7BUj/YEuP9i1sjSJJ/S47BUkhpBDMEaeDQQ6AoHA2VOBBpNrivQzVYI9U1VRuOiruoazXYGvA4HTga7zXV2+aA6BA7ING6wGAoEDBw7cdtttvDYS27XeeeedBw4c4Juxq6vrv//9r8lkOnDggNlsfueddyZOnDh27Nhbbrll7NixP/jBD/iP87gojMWKN/7iF7+Ij4+fPHlyUlLS+vXra2tr29vbjxw58tlnn/n97BjHn5HfMoS/FH8xPVTw/QYLvf5A4NSpgOVgFG0kzhuZ/ywk/CgL5o3U6CHnOE5HzncF/awIRzSs+uhlMtDD8XvobS7uUz0ccEjeGqhvgY+jQCvdYZFa382dbyKSqonHriCMxJpD7GzC+54IK3JuQVzJVvo6juOD8Ee+SGcffjIgnBf1sR5p4RWKoN1iJO8bibWRLEYi5wsV3ayhG5FC0qGGjNCRU+g+zaIv4hnp4Q6/uLcu4hou8UfcKNsHG5qV/1LRTsoTDVADxkg15ZpU2vbwtjYlU7u6aPdH3WLkz7xv7wz4u77p7Pq20x/MEunvvODvOu/zDQI98qcYYIz8j6PricWvTc99ccaaAxkltVKqgcVI5GIRrR37C11hKN/dy/4e9mL25+8PXBmIb4cvg/9SF3NVPV8GwkhPGtOiK7bNL3yfmrnjnbxlZkJRRyZasxMsuhSLLog04STZH4zk+022wi/48Zke+9qPf9eOO+xKhH03vNVTlHN+3RFXLvZK+O8eVkEtgDI+KdDYBrmtLKTaQmospLqWSK4jeIxcXTTnLwULXtVtOJxG2b4LRvZ5ETF88aLn+6rv7wJGDkR8tu4OMkCrOX169MIxknYsRL6Rr3O+kRgjsWtkJ3KQ5Ms+6CN7QINL8VYQb/2BgA+UjYELgUDg2y8C7734n/tuPnPXDUd+N8aUJumorT0dCHwZCGDOxF6fl+KC+GMeOHDg1ltvxRx41VVXjRo1Ki4u7vbbb9+/f39HR8exY8c+/fTTY8eOvffee1OnTo2Pj5dKpX/+85+vv/56nhi7q1x11VW/+MUvfon+fvOb3yxcuPAA+jt48KDX68W6UP4yLtMKvtOg7Akjr60a9/vVCCMfLPtcSdk1eodG705FGKmh+vQ4dN8J8CMarnzHo8U+3qcWwAt2kFmaZhN+LC181zDzr+8hjDRprzCMDBusw15yY3dPwz23T8jMpJvjhOwT9YMDvJHXSYYypLwvvpEhGImitavoJoyRGsqBJRpJ9rLc0/3z3qf783v8cZxqiGdIYHg1BXYfsGZHgzbyD9vaVEztmiBGoryRP0Nx0VhtJI+RAQFG+jr8nR3+rgs+P894g1AZcIz0b1j8Sl7eC3lr9qeVWKVUg5ixy2gHDvj2Pb5vhstzhTEy1YAxch81c/u7eUvNhLKOTDZnJ1l0YouOR5rvpI0Mg7fYy+5aAHwjg4pfFWLIVAupiYaRr+g2lCOMvEij1j4+gFGVD3i1LOiK04Ovb3dvIe+dIEZyavwB0EPiQw2pNlJsAK3LouLyBXklb2xnQ+xcVhjZiTgDWAlj5DcYI7/5PLDr2c57bwzcMeLsvTc50pIDtXXfBgInA4FzSF05OBjJayP5EDi33XbboUOHnE5nQUHB/Pnz586dm5SU1Bd0FCLl6NGjV65cuWPHDhy4ta6u7jJlxR4uG2Nkb9pIIUb+RwEYaRdiJO4T+tiBxHYbJi2ASVJJOzIpyBvJY6SZSDITE64gbeQAM1t3g/UQbr9ojFRvrJdj30iDVwJGzpA7WsU0qemmVNqWSjmwaDidJG+mNFBuLMPkWRhmlxHKkLRDQzlTKVcamjvxGLl64+6PChlk1Hpd4GdxIGPjAhEYeaqrE2sjO/w+CFXg77xweWojfcj7J/Bfh3/Dolfycl/IXbM/tcQq1tcjbaRTOWDayOHCY8Pspuxrs8gYj5TxaiIwspZMMWWLzDoJwkhQiwnYhuPJ76KNHPTVuyHs8ftxakJh0sq5pga3jSHHSBwDEGeKE97kkbEB+Yw1fawEs88NOEAKDjhU2kixAQaGRcXlCwUY2YmMWoe9NhJfIIJHZIIbgpHf/jfwzvMX7rspcNeob+/7SVN6Smdt7bdIG3kelJZsDNoeMOa7vxWmjbz22mvj4uJ+8pOfbN68ecWKFSNGjBg1ahSfCERIiT3U77vvvqlTp2q1Wq/X6/f7L6A/Xv3IB4DtIXbOd/9eg3OEIEZ29smo9cGycIxMRdmqIvsEYf8Qqw/PFlDA4h2LkcsK3zXm/3V37nxLOEZim88rH8b6MTQPsxnLRWAk9o1UcRiZwkZqBYxUMk1IIQkYmcaTJDJtVdAOLCjKQF8nlsPz5h+WVxUCkCgAJ4TET+UwUoOMWv+wtU3F1HWLkT+Lqx43xvv22wF/4NvOAMLICx3+Cx3+DkySlzdGnrR3Fi16ZXrei3lrD6SWWEVUvYixSWiHop/+h8Py578SnigZ45UwLRpDKzJqZbWRJkJZqxOZsiVmnZTDSHUUkoxh5AAPLQozoTRpoeTjyHWPkdsKFvDayIv2jezlHlZz2U2jah37iIs97BZVzxlmHP4dXw5m14GNWiUo4cflj5E+pFxkjR99ga5vBUatX43/WeDeGz8dP8YyReKrqzsVCHwVCAwVRt544404Cs5tt93GZ33EW/gUHZGekCNHjrz11lvvRH/33nvv1q1b7XZ7Y2MjBsUworvyMBI8O3vFyBngG/lg2X+QUWtQGxnDyMHsVQb2XCxG0qCNXFb4binCyAhtpNwEY5BC6PERFsLg8gWwK+PK+4uRTG7xOpQ3UrWxXlYKIXZw3kg50kYCRjJNGqSNDMdIxoH2ccQwcmCfRO5oIRiJIuGjzGoII9ORE0F8adsjGCPBqDVCG/lTUEua7h7rffudADAkYCRiyPM8SQ6CIavwFP0zau3wdQhXZ9HQCx41XbAqDfOPr2ydGxe9Mj33hby1B9L0NRK6QcQ0S2h7DCO5e6iXefyl3k3GeCSgjQxi5Dt5S6tJZQ2LkTKLLog0iG1wZDNc9iPEzpXRd1/ib8FjJG5elBkZHCPTLGQqMmqdUKGT7c6Z9tyMVUVzthYs+Ltuw6F0qkmkt0sF4d0H6p7pXd9IuzTfRa44nQZOoCJhGiWGphCM5HwjLyttZDhGBn0jd7/4+fgxgXv/58j4saYpUl9d3elBx0ihUeuoUaNwmscwZeM16I/fOGLEiNGjR//gBz+44YYbRo8e/dvf/paiqL/97W/PPvvsCy+80N7ejtERRwPiw+TgCh9GLmoljDmH+UusjRRg5KGTj94envBj7LVV4x5cPeO5h7d9E/SNLHGnlrhTKTdgJJc9cqB6m9hxBqcFFAzSRnIYWZb/1z2583mMrMxJqc7m/OtIJXK0U/BljCQv8QSgH+rfi8DI9dEwEiXjQdrIGEZegklUjw91CEDyekgNHYKRaZRrshEwUs3UId9IxgKRWgVGrRgjx/2iZdd7HEb6O/znO/znUHmhwz+o8XUu+Dr6h5E+P4Tl40dWAUayUey+tHHayHWAkVKqXsw0SWl7f6Oh9vhjDDGJXdbXhjDSozF4dcXN8wv/Qc3cHoqRcosuiDRmAsBGIMrh06teCVcCGT6UJq1S0MI4vk6ahUwDjCQnVOiku3NynpuxsmhOWcGCl3UbDqZTjWK97RJhZFQlJL+xBzVjv96CAw52D35JOg0WI+kIjOR8Iy83jGRXA7FRa1AbufuFL8b/NHDPD489MMacIfHVQYidQdZGCjESR1jFikc+e0dUbeQ999wzZcqU3Nzc7OzsVatWHTt27Ny5c6dOncJZH/1+Px9RNgwjhzkZ9uvyQjHydMBSfvLROyIw8rqqcQ+tnvH8w9u+fbDsv0rKCak+SrypJZ5UypNKuWMYeZmO+yxGIt/IMG1kRU5iZY6oKltRBQAZRSDn8wAb4PQDnGKnFrbARWDkRWsjcd7XmDZyoB/5EIxUY3pkU3OzvpEZele6PoiRa4t2f1xIW+9/4EIUjLylZdduAUae6/CfRSR5OWAkz5DcuIu1kSxG/tfeCb6R01/K5TBSEsPI4TRjFmBk47zCvfqC7bumgzbSqhNVg1Gr3ELy3KgxE2HSZ4wMC0kaexm9BTBGqgTtrLaQqRYy3UKm1xIpQYzMfxwwcuFLug0H0qnGFL1NcvGJWC8SqHrXVXIGsX1ByssfIyHYGkQjYGxSulEapo284jDyJMLI4w+MsWRI/MMAI3GgHT7cDq+BjIuL+/GPf/zII4888MADd99997p16yorKxsbG202m91uP3v2LM7uiBdDo2Jkvwjtstg5GkbeGYGR1yOM/NvDW089WPqFknJp9G5NSUtqiTeGkQM9m7zIHvjiLkOIkcuXhBi1VkxLrMwRxzBSSGvDth7DyIu7/4fTp4IYyTOkRoCRaZQLY2SCse2PW9s0dN3aot2fAEbef+GW0WyInZ/HBW5GRq3jfhmKkWc6/GcEGOkbTPfIfmsje8bIfzk61y0JYqQEtJHNSBvpQD9nWODv2MvBbgEZ45YwWBvZNLfwHyUsRiqsupSqbLFJJ7OQKjOhNoFoQkUN7hPc2mSYE0X4SwLlYxSU1YI6pGqMCSGvJhQmQlmtVaLWxm2uNpMaMxi1ptUSIpTwQ46MWlcio1bQRqZRTcmAkb3cOTWkD4gAACAASURBVCjpqLPnMiz5h3DnsLdUtFNNOzUQk3pgRN3b9UdewLDcYlfRNhndKDM0SQQhdt7kMNIf6PKBzT94pYUJntwPDw7BF+hDEXPguiK1kUKMHHJtpJAhsXXriBEjRo4cec011/zoRz+aPn36nj17du7c+frrr9vt9vPnz2NHx46ODhxBp6ury+fz4Y2R2sjh8YsM5FVEw8hIbSSPkacfLD2ppNwavUdT0ppa0hLDyOE0E+03gmKMzKKa8zdVh2MkaCNjGHl5KEhjGHlZP4Yc/qDcHqF6SOwemUo50/WuKUgbmWBs+1MQIynr/fdFw8hftezaE/AHToF7pL+jMxIj/YNGkgOGkXisOuHsXFv4ai6njZRAiJ1mKW1TUvZoeWmi5jyNbbwkLaCm7SraIWNcUsDIVrLYPqfwg+KCZ9+evrSKlFt0SchNQmLWKasJdTWhQaJGdbY0seFbWUd8Qf4i7E0hryZlWKpIWZhUkrJKUlaBSlz/Ppd8O1SR8kqtHGyKCKUJiVmnMoN7pKZOK6rXTq4klXuy856bsaZoNs4bWZ5K2ZL1dgnt1NB2DW1Twc8Kgn5ftq6k7QpO5LQ9qihouzJC+E8pucMKj69GZwkr0WXY+1FSsDM+CH/wy67CNYJNyWEkTvixEEVqfZ3DSN8VgpEvnhx/c+CeG44/MNaSIfXVdusbKVxkxPUB4aH333+fD6UzcuRIbL/KayB/+MMf5ubmrlq1at68eUVFRWazGRNjZ2enz8d6YQhxsaury+/3X6JLHZDvO7AH6TNGPrx6xv97eOvZB0u/FGBkTBvZb3IbVvNdHiNnbqpeEaqNrMxJrMwWV+tiRq2XAUnGMHJYPVYXdTGgjYzUQ8IWiJfLYmSG3pWIMDKVrlsH2sgeMHJvCEZ2nkZ2rRc6/H6UN7ITlYPhJznQGOnqXIu0kVyInfoUCLFjU1B2Ph1NrDKELSBlXBLGoza0EcXOOYUfbil4fuf0ZZU6uTk7uQLcJCQmnRy5SahQGfS2ryYV4CkB7nxyMykzccTIo2M1Ka0mJViqdJLKUKnQSSp0ksOoxPXvc8m3A7QSIalG7WkmZGZCZgG7YkUNKa/XJtdrkyrI1PeyZz47Y0PR7P8rWPBG9oaKNMqeUuKQUc40ypZGNWsom4a2qWm2VANY2pSMTcGJnLFhkTE2oci5Hfg9hRUlA8fhRUkDL0UVFTq7up+lhrtg/hSXS0WJmgV/XxUNbStFkVpFBqeCcbAYyYXYuSIw8mRg90snx/8scM+Nxx/4uSVD5qut78438hKxmcVikUgkN910U1xc3IgRI+Li4saMGfPQQw9NQn+pqaler/fbb789fvz4l19+efbs2c5OyJLIX4yQISN8+wcW2Ybj0fqMkX9YPeOFh7eee7D0Kx4jwT0y5hs5nNxS+jt/jY6R2iQLMaEqJ7EqW2TS4VE+5hs5rGFywDFSCakjoyX8gFCuIDHfyP4+a73tH4KRWAmJGRKlXQGMnIoUkjxGrn+inxgJOsnzKMSObzBJcqAw0teFIrV+5uxct/iVGbkvTF97IB3yRtYlG5pEjE1G2WW0U8a4ZLRLRrtjMlQtIGY8IoNHbWwhim1zCv+JMHJ5Jak068QV2bKqbJlJJ0VAKDWREhMp5kSCXkrNpNRMSKyE2My+xe8jMpEpvFSTKUKpIlOqdDEJb4Fq3GJEsoUQWQlRjVZUqxXVkeJ6QtRApDRoE2u1KYfIjHey52yfsbFo9jOz5785bX3F1BKbtNih1DvT9Y50fTB3sIaCNS2s8w9bp1DQEMJbFio4qDceMKKXtANCyCCRoyDgUUsF2i3sjL2+VKEUVfj4/FmiXwY3qg2Td+WMXcGAslcJal6blLGJDE0phsZko1POOBZsObQorwSMWtHk/Yowaj0Z2P3yyfFjBBjZMMgY+c0333zwwQdTp04dO3bs//7v/44dO5YgiJ07d37yyScff/xxVVWVkN7CDFZ541VhCFbh/ld8vSeM/N+4wE1Ixv6gatwfVs94kcdItd6jLmkD98gYRl4pGMkatU6bb9EmWYkJ1dmJ1dkpZp0MGRbFMPLKx0g544IBHeWNVDCNMYzsDfwG1hIhiJGCPB/sFA5rIzFGJhnb/lzWlkbXrX9i9/4ltPW++y7cMgp8I8fEgU876xsZYdTaeRqZtp7r8F9A5qz+C75OJJdcITlgGIkTfvzb2bkeY+Sa/WklVpG+LpFpSmLsItohol0ig0dkaEHSKjLEZFBbIAVavjXZ2JJi9KiMHqK4cc7S9xFGrqgg1SadvCJbVZUtN2WLEQ0mm8kkC5loIRNQmWQhk81ILGRyDZFsJZItJJYkC+yZwO2ZiPYPLYlES0yELQANm2glEmuIxBrt5DoioUGb0JiV0JSV0Ewk2bQJdm1CgzbeQiTv12XszJnzDGDk9jnz38xbV6kttiu2OJV6iKCooTxq2qOiPUpOFIxHzopXzgRFxnilhnCRRWwJ2YfxwqfQByUGb3ciNcBuFy3Svp2lu7MPxXaPxOCWGFwSg0tkcIqMzkRjc4KxMcHokDKOecWHFuSVvMVhZFegyx/ovMx9I4ceIwOBwLlz5/bu3btu3bpVq1atXbt27969Z86c4c1TMQryWkc+ds73Fh2FbNw3jPxhJEaqStrVMYy8nBlSRbuE2kiMkXumzbdqk2q0E0zZiabsFFMMI7mID3zoh+FWwbEnBG5EckFdAYZjhAyW+MmUSp34gxzi77mFOG9k/sr9fN5IkcGrYFBYOLBXalIwjaqYNnJQn24nT49shWIZMkwbmWRse1SAkTX33ddxyzXAkBeDkYPhITkwGMnHZvjM2bl28St5uS/krvlEU2JNoeonG5onG+yJjDOBcSUaPYmlLYnG1pgMfgskGKDlE0pbkgAjvWRx49zCDzYXPP/m9BWHdapqnfxwtroyW1YN40qCmZxsISdbQ8VMTjbpJlvIhFoioYZIsJIgNeTkGna3eCsZX0PG1xLhUkfExySsBWpRm9QT8fVZkxq18c3aeHsWiEM72YWkSTvBTMZ/kq3ZOa3gmfwnimY/M2f+W3nrTNpil3yLV0K1SplWiaFVzLSKDSB4XSbF0JIM0ppsaOuLJBnaepVEQ1tC95LYhyP0eookQ1uisW3y5SGtk40tSLyTjZ7Jpe6JpbaJZQ0TyxwpBsfskkNzp5eAbySavHeHkRDeWjjTH+J6zyF2EEY+MCZwz/8cf+AXlgy5rzZSG8l+G96OlK8M1Dfz+/1fffXV8ePHj6G/r776KszvMSwEK76AgTr7ZX2cSIz84lEuUmtQG/nDqnGPrJrx4kPYqFXvUeu9Kn27uqQ1po0cXJXFwCpAusPI5FrtBDPSRlZny6tIQJEqUlVFqipRiVOAxBJ+DAee7N6cFcNkLxip3FgvLW1LMrZgjER2QHYl06xgmrrDSGypFDNqHagHX4lgFYIUcsF1sO1YagRG4hA7Qow8sISu7RYjkW9kFxdiJ6iN7BBoI4cjRoZEJkCDK54R+fBAe8zVtbLwtey8F3PWHVBTNclMY3ypPd7onGwAScDCuBNiMugtMJlxJRg8kwzuyYxbtfWIVu8sKPzoyYL/99aMZZU6qRkitcqqs0Xm7AQLOclKTqqJEAs5Cb9VR0yqIybVIuEr/Mt67SRWCKg0aCc1xiS0BRpQE7EtkzWxOWuSPWuSMxPEpY33ZE32ZE22Z/2xjnzkULb4nZzc7flrimb/36x5b+Wss04paRUXH0lkjkwyeCcavRMZ7yRDUCYYPI+BeCcYWsNkkqF1kqF1Iif8y7DdIl8+ZmjtQSL3v7gtjxlaHzVeRtLyqNH7qNHzWKnnT6W2P5U2/LnMkWC0zyg5NCtf/wrnG4mMWsO1kcMJIHG33ReMHBu450fHH7jFkqHw1TZGGLVecozkQY5LNBV0fRQSI69+5PePVXrCyJ/yRq03VI3746oZLz647dzvS79W6L1qfUsIRl4puV4Hamp4uRyne23kY6bshKpsPm+kuopUV3JSRUJwhBhGDjlG9qiHDMFIE6eNfD+HeFmgjVRsCsFIBIeQp0rBNKtoO9KDca4xyNNEgRxYYr6RA/iAR8VIIUPy2kiMkYlIG5lO1T3xxG4OI0dGaCN/3fL2PwL+wLd8pFYWI4e3b2SH3+fv7OSXmbnhHGMkmzeyzR1YvvRNYvrLug3lKqY+2WiLL3VNNrqTDO4Ug0NksImY5hTGFpPBbwERYxMz9gSDK97glW49kUa15S09uGnWS29PX2wh4xvIx2p0k2t18XXkhFrisTpiQqTUchsbiAkNxGMNxGP1xEQkkxoIwMUGbXxjn6VJG/99FtxQ0AKZE0EJmRXvygRxA0MmeLMmezIfcmjvM5MT92ZnPjdjedGcbfnz3iDW16j1RxL0xyYa2h8zOh81OiYYXbxMLHVNLHVPLPNMLPNOLG2dWNY2sax1YlnrpLK2+LK2yWVtCaEyGW2MR+8OeYkvcsgvoz8X0Bq/tSV+q/exrY5HtzU/us2VWObMp8rzpxe/9OwuUI4FAhcCgY6IhB+XLUbedPyBX1oylL7apgiMZGFNODoI6S7GckPYAtEw8q6IvJE3VI7706oZLwFGln0tp1iMhJwf2DcyhpGDav82YDrJaBg5z6pNqCEercphMRJpIDWVpIbHyEpSjUhSMeQc9X2+gN70kEGMrCIgSL4JGbXuyyFeyi2kc0vWLXgtf+V+AUZ6kFEreOiBez9E0QtiJOjHMEZyARFi2shIksRAGLm9L1v6ro3EGJlB1RVt2H2Q1UZGYuSvWt7e1w1G4kit2DdymGkje8RIVhvZ6g4sW/YWOeOV7HXlGqpOTDenME4p7VLrnWlUczpVn66vS4vJULRARkndFH29gmpOYdxi41GVvjV32eFNBS+/M31xHTHBRv6xgZxYT8bXI6vUGmJypNQSk7HUEZPrUB1c+4jEWiKplkiq0ybXalPqIqSWSKmJJrVECt6/VguV75XgVsJfuS4rqTEruSkrpRmJTSuyZ4kdWSJ35iMu7X015IT3s6f8bcbSojml+fNf1a6vVus9CfqWRNqVRNUlUbUpdD0WEdMgYRokhiapwSY12mVGp8zolBud8lKXosytLHOrSt3qUreGE3UpbOmvKMvciksj+Ar7ez1Dt78HTl3mUpQ5JVudyducidu80lL3XH35rLzilxFGdrIYCTwpTBp52WLkj2IYOYQ0eNGn7hNGjvnh4bseWZUPGDm+7GsZ5VWWeFUl7ZqSVo3eraHcamrAwKYvU67YPgPVAjxG8nkj90ybG8RICM+uQPSYWkmmCjGyklRXk8FM0d9nnBuq794fjASkNJGiSp0YMDKvkM4tjoKRtAtrI3FU9qgYyYfHQ4maY099SAvwGKmmXP0VDSTfZhN+dOcbKdRGZlB1GzfsPtQtRv5SgJGdEFwnRBs5qDk/+uEbGYmRSCHJGrXiSK2t7q4Vha/n5r00Y/UB7Zaa9OLGKcU2crNt+qamGRut04sqphcdRmVFrBzkFpix4fDMJyrIjaa0J+syaLdW75pZuP/Jgpffnr68mkipJRPMOokJUkipKgjVYTKKVBDwFifqw4SmnMSSephIPUykHSbSy8lwOUSmH4wmh8j0Q2hnXPlelbiV2BbQplZo06qI9CptejWRbiIzTORUMzEV8kYSEyp0kt052c/OWLFxTunseS/lrT9I6Bs0JY1TSmozNx7K3Hgwa1N51sZD2o3l5KZy3abDuk2Vuk1V2U9W52w2Z2+qnvakOXczSN5my3ROZmy25D9pmYFeCrfjHfI2W3K7l2lbLDmXRqZt6em8PVzSUL01bbNl2hZL9hZrZkl9GtWsolwZekfhpkOLc/U4bySvjcSaSUySw8wrErNJ341aQRvpj2kjLxrphuKDIRh5+kzAUv7Fn+4AE6mb4wK8b+SYH5Tf9YfH818cv/Xs/WVfS/QeRYlXWdymRhipptwDRTWx4wxmCygFIXbyN5mWL3m3LP8phJGJ1qxHqzmj1kpwiQzTRsLLGEYOAUBCQjWQvjGkvBr7tRJyEym1kKIqEkLscEatr+av/ES5sV5mbEuGMAotStqN4NABubsYm5rTRqYhJz2sjcRB1NFuzrB7VX15KuTDvsV3f6mmXJr+i5ruJVJrGuVK17vSKFcCMmoN1UaGh9ipHvfLll37Ar7Aqc7A6c7OC76zF3ynUXnugg9HasVhWjuRn2THBd8llIHByK5AB8bIIy7/msUvzcp5dtHjHxY8UT19nXnWOuuiNZYVq6qXLv9k0bJ9i5fvW7wsJkPQAkuW7itc9v685R/kP/7hnKKKBUWHCxftLpn10kv5m3fn5O/NmfFu7ux3cufvmrbw7RBZ8Pa0KLJz2sKd0xa9NW3RW7kL35q2aOe0xVjeyl38Zt/kjb7t1sejXb67vZGz8E3cgDmL3p62eFfukrenFe6atvS9nII903Rv5+a/lFv4VP6mTbOeWjznhYWr9s154kD+Ewfmrf940Yo9i1fsWfz43sUr9ixZsbdwxZ6lK/YuXfGPpSv2LV2xb9mKfcuW/2P58n0rlu9bHiorlu97fFmU7Xi3Zcvh41EEbS9csa9wxb4lqMT1gSovxTEH6tq6O86SFe8vfPzDmSsPTltnItbXZ6+rX7nqo3XTje9sfxfzQkeg0weaSFYhOfz0kH3AyFNfBna//MX9Y5BvJGBkZ13zmUDgq0DgPAqt1ikIFxQzah0KTuzlnEG3k85AgMfIn4Vi5NjrD457eFn+C/dtPfu7sq/FgJEeZXGbssSrpjwqmH2GrMrHXg6TFlCCfim6KGiXnHbJGZeKdmRRtvyN5uVL3ivN/+ueaQusWlGNdqIpO6k6W4y0kUpEkkHfSKyWjIqR2FsvVl6qFgAgBNViFRJBRFZswhpZohA7WpmFkNYQyWZS9JFO+1pOoXHalnUL/p6/8hPVxnq5sS3F0CZhWlW0B+nQHDhLM8bIdMqRTjnSOKNWhJFRABKzU3cqOA3NaufYit4Je+Ky/4q77s4SZfsgnCLi+jURW6JcmGAfzJwYI1VIIYm1kaE6SWcq5UrTu1I5jMS+kZxRayRG/orFSD+PkWfO+86e95077zt/3tdx3uc/78M6yeGU8KMHbWRXoCMQ8Ae6Ap86z29c/PxC3bbVy/cuWbl//qKPly/av27BRxvn7dsw793V83aumf/2mnkxGZIW2LV2/jur5+9cNf/1tYte3bDo5U1zX6TnvFg2+7mygqcMs/6vZPYzJbO3U7O207O2M0F5hpn1DD3raQrKoFCznqFmbYdyNryF6vjlM/rZQUFvPRO1FO72fa/P2U7NZkU/e3vJ7B362TuoOduoOXp6Ns3M2kbN2r551gtrZ728auGbywt3Fha+uXLh60/MebVozqtPYJn9atHsVzey8trG2a9x9Vc34Y2zXt3YNyma/eoT0YTfvmH2q5dI1s9+9XIR3ETrZ7+2es5bi+e9O3vRB3mLD+UtOvz4/Pe2TP/L3h17UCTWTl/A5w/4EGd1dUHmj+Fp3NqjNjKIkTedGP8rU7o8hpG9cNswe5u1Fwog0+rTZwLm8i/+dDtoI3/GaSN/FBcYc+2BcQ8Xznzhnm1n7936lZhyyYtdiuIWMG2NYeRwRWhQNnYjctolY1xSBkqEkfaZGy0rluw25j+9e9qSGkJZRySbssXV2dJqnbIKwrSGiQoFaw33jYxQkSmQNixKWUUqYvJdWqCSVFSGtCELlhgvq0h5JYua0PgmrayGkNZrk2qI5INk1s7swrJpm9cteDl/5cdKwMj2FEO7hGnDGKmhnCrarqKxNtKZSrGioZwIdZwq2slabzLs+pGadmmC4hTU2e2pDF9xqymHSm9X8SXlgPolEnQiHPh00Er4gsiPtC+lEu2JE3rz+wtfqmnI+K2hnBoKVJEXgZGn/P4LAJBnzvnOnvOdO+c7f87Xcc7nO+/zDYIq8oKvY2C0kWhV2h/oDPzHcX7Loh1LskvXLt+9bOX+RYs+XLn4k/ULPiiav2f9wt0rF723atF7q2MyFC2watGeVYv2rln0zvqFb2ya/4J+/g5m3o6S2c+vnr9rfuHB/GUVucsP5y0vn7n04Oylh+YWHkRyaE7hgdlLD8xaur8ASqgLZD+q8+X+2UtZmcVV5hTuD5O5hfuxzCnk9i/cP/v7J3OWHoBvvfTA3BWH5nAye8WhWZzkr/okd+W+ucv3rlr6j6KFe56ctWtjwc6i+e+sLXx32dK3H1/41vq5b26Y++Z6gWxAW4Sl8N0+1sOOyX+K375u3puXSNbOe/NyEdwsa+e9tWr+ziULds1ZtHv6ko9nLD70+Lzdm2f83+4d/0AY6fcFLvhhiS3MO9KPZvTDRzfZN4y898c8Rp6NaSOHGSv2cDmhGHk2YC4/+afbgSFvjgv8NC7w47jAj+ICP7v2IGDki/dsO/O7rV+J9S5ZsVNW0qLQtyghM21MGzkclbEsRkJO+RCRI3qUMJDbVgoYaddSTQUbTcuXvGfI3/7utBVWIqOOUJh0SiQQlDWqhEVqjcaQwQ/yIIpyhwCUVpLKiphcbAtUogYUlIpKnbxSJ0OlvFInr9DJKnSySlJWRcpMWomVkNRrE+uIxHIyc1d24VbAyJemr/pIvrFOYjySaDiSwrTJaY+CdqPbxi5nbEragdVoKk51pkKabazHVjBuXpSMWwXiUjHOnkVtcCohSI99MIX35xycioJ2yFE8295L2iFHIYu6uzAMlqCWpEB/21eMvDmuetyvWt95P+APnAJhMfKs/+xZ/7mzvvNnfRfOgkLyEhqyCq1kBxAjYan9v3b/k4uen5+zdenje+duqMxfWzl7XfW8NYcXrD4wZ83B/LXlM9eWF6w9NGvtoYKYDFYL4NaeCY1/OB9Oun/hmn2rVr+zqfClDQVPFyzYnbHBLdvYkrLJKd3kUG60p29yTSlyTi1yTS1yTylypW90pW50aTZBmY4kbaMLiZOruNI2OiMlfaMzoyhcphQ5scBbG0H4Ld+rytSN0MhTNroyNroyNrnSN7nSNrlSN7k0T7IVSbFrcnFz6sb6uevr1iyrLprz0brZH6xZun/h+oqcovLc9eVz11XMW1cxt0eZs66iv9LrAWevr4jJ7HUVWArWl+dv+GRG0cc5T1TmbrA+vmr/qry/vrX9H8iQ9YrESEVnXfO5GEb2wG3D7K0gRnYFAmfOBczlXz7y2xCM/J+4wM2jy+98aDkYtZ5+oOxLSYlTusUhKfHK9B4F7UEuVcORo4aJZelQXQZ2fVQwkBxSKBxGuiUGt9TgVNHNWqquYGP58iW7mPzt70xbZSGIOiLDDH74aSYd+EBGFSFGRjAktq4M6iEjNW+VOkVFTAasBWQVOiknAJAVOkmFTlyhE1fqJFWEyEyIUULvxANk5lvZhaXTNq9d8FLuqg8lm2qTy9onlh6dbGwXGTxig0ticIoNdrHBJmUcYPaMFNd8Rcq4JIxLzLgkRjcvUoNbBuKSGZy9ipRxDLJIDI7BFLHB0XeRoNaQQVM7FLwwUMeKSo4kgxgpTPgR3ag1CkaeO+9DDOk/d9Z/Hst5cJIcDJIcGIzsCvhgab0z8B974IlFr8zMfWbmqn8SW+rS9c1ptC2DapoCsUkb1ZRNTdlSqaaYDEEL6JtS9c1y2i6lHRp9fe6WqpWrdq3K/0v2/Hfk+iOTDccmMJ6E0pYkg0diaJExLQq6VUG3yZl2KdMmNrSJDFBKGRBJqOCNfSllTJucExnThl8q6Lbvp+CmkFKtUqpVQrWKqVYR3ZpCowrV+mjpkfGlbcmUZ8Zm1/KVdavnHVo678DcleasEvtkxjGZtkPw7tDZg3AmcYnqcoNLDmMJlBcnaCiCI/BycccZ2k+hMdUjN7iUBpvGYJlqrExnajKppiWbKufn/uXvOwAjO8ExsiOaNpKPtjNMgKOP2sibToz/JTZqjWHkMPnl+nIZQd9IwEjQRgJG3izQRiKMrLjjodUzXniw7NSDpSdlxQ7pFoe4xAuxdmIYebkZtWKMlDJuCeORgvqoSUtZCzYdWF74NjNz+65pa8xEdi2RaSGnmsl0hJHdKSQVvAdgr956vLEl5kls7FpFKip1MRmQFpBV6qShIq7UpVTqIDorYCQpriETrGTifp32jZxlZdO2rJ//Ut6qD8VP1iZubf9z2ZGJpW1JRk+y0ZlitCcbbSlGm8TgkCHFtRRprbH6WmxwiQyuFINLVOrmRcwipUtidEqMDlQ6uytFBvvgJLQT4dyBBluK0T48RWS0I2K3Swx2GeNQhEoYRmKj1jTK1ReMrLoLhdhhtZGdF8Af8tw5BJB8eflhJMSR6Ax8Zg+sXfRWbt7fclbvT9fblaWtsq1tsjKvotQlK/VIS1tAjJ6YDH4LyAwemcGTVNoaX9YmMboJff3q1XvX5/1l2tydSkN7QumRiUb35K3eBKM72egWGdxiWLjyiA3eFIMnBXofT4rRnWL0iAzhIjZ4JEyISGH0CtkCO0TshgY5j9TwPRUJamHc1CKDW2TwJEPje1Igyar7sa1tD5a1ixhPfoljyRrzsgUfzV3wUd4aUyrj/vO2I4+UtkwwuCca3BMGVx4zuh8zuh9FJa73t3wUfVxYPmZ0T7jc5DGj9zFjy0SjJ97gEDE1KqZaSdWmljTO23h43oynXn4WY2RXx5WDkT8L3PujE+NvMaXLOusaYxjZF34bJvuEaiPPBswHv3zkthCM/FFc4OZrK+54aO30Fx4pPfUH40lFsV2+xS4pdkv1bt4QTok8proL6PJ92z5UGkh8Xj5mJrZrDWt8BQORdaSsbyRoIwmqdtbGQ6CNnLlj17TVZoKsJdLNZKqZVJt0KhztszuFpIlUmCAcKOvrGOoMGYz4YiLkrKD9zYTCTChMRFBdGfrB2Pb+toC8mpSGithEikyk2ERIqrVis1Zcp02s1SYfJMm3sh//S7Z+09y/z3z8EoCbKwAAIABJREFUY9mmuqTStkfL2iaVtqTANANUkZDC3dAsZezYHFrGOGWMU4pEwjjFBqcoVMQGp4RxIo0fEFHPAuAEWcoHSww2jGrDs8RtJWXsMsjVaVfSQUEeqnZcqumgNpKP1AoJPxbTtffd13FLaIidm+OiYeT5c/4QucwwsjPgw+EIjzsCqxfvnJb3Qs7qQxl6l6r0qLzsmNzYpjJ6lQa33OCRGzx4/SNWDnIL4P5CZPAmGb0q2jG9uLZo5T825/x15py30hmv2OBNoh3JBlcy4xQbXVKDgxMnqtilBjskJDTYZQa7PFQUBruSCYqKsUeKEj1CKOktepa4/RVM+NHCDn4Fv5RBk9olqFVxKWY7xGaxwZZQ6p30/9l7D/go6vz/f1IIvShSBEXxBD0VRSmCtCSbbJudrWn0hBRKeiEQ0oCEZHfmM7MBzrtTz/M8AQEFRaVLU0EgpG3vSdA77+57/u5/zVMB8398PrO7bJJNCCGEBIfH+zFMZmdnZz6fKZ/nvN6FdihI0zp1XW7RmZyMg2syPkwoOhcFTIu2N85nHKHA3Pu2CJgX3rEtAmbWFnpmev9A7vgXLaGUNYwyR1AGEVkn11yRqetVlQ1pW86lJe3c9TvWqfWn+0iNHNfy7Mivp0+8qBLdqOMwso8QYpd2ozVG/rfl0tm/ezFyHNYyGmt5ALsxbuC5qTMKEt+apf33TObv4kqDuEIvrLQKNFYBsItouxjYxMCKpjZuKgY2HNgk985wtAMddYQIuhTBt8B8xiagrRJgjqX0yWVf5mYfopJ/+8HK/CtLouqXCK4s411ZFlG9VHB5ieDyEqFfq14iYM3vp96F1YuFV26a4MpiYc1iYS2a+iz3XYebv90W4F9ZHOljvJrFvFpoEbWLI2tieXVxPEPcIn1s2PnFSz9YuulXy5mt6/YnbzgnLtfxqprnVzWFal0CxiGkrdCplTHxGaMYOjzbCMomgZe2VQQ/sgogalr5TCtDioJViBxihbS5cxNpreLeNRFj6bMmZCxuQ/7AODB7TQLMXsPhqx+rFEauWhdoG2fvaFRQdaWbPz6TDS5Pm/b9zwsjzS2bst+NT/jdyk2nozVGOdNIaJtlTKOSdshhhK6ZoM03/YO9jsLczN1vAVZAF8NgCUu0Rrdu2+WKDYcrVvx29dr3YoAZ+serjWLKLCLhWQ7pDpnEnZAK5vXyJIk2yGGOL/efKN+X+08ZWn5zCgsTGWTAIEVGAFiqiGD/9GyBAAa2Eu7PcIoDg5g2iGm910S0XugxOAIAjqWkIafi4qZNhzekvZOesSd50/FYoONtb4xgHDjKrIDuPvDd8103lDve7QODPGFu9z0ImzZQ7LOrN+fZ3PT9YgpgMIkEpiKwoinMegevCNIUrTFklH2eumrH7tc/QQP8GzdafrzhJ8VOf3Rq5TCyS8zWB1dqhZHf/bfl8tm/vTz5xngMJmsdj7LsjMa+fzjk06dfXJ/0+xer/jW96v/4Gj2/Uh+htvIoexjtCKedPLc5eDRnsAUi7qnBXmAc4R1YGOMIZRyLtE5ojCOCtslJ48qyS5k5H1LJv/p4ZaZ+sci8eK5+6Qz90tn6JfN1cQt1caHIFuniumn6uEUeW2iIg2ZEU3aem95BCyxC311giJtvdNs8Y9xcY9wcU9wcY9wrcGHMK+aYeY6Yl+0x8y7HLT60tLBq+c6CtEPLN13kbbMsrPrTHO3X85mrPLqZB5w8YA+nLWG0ORJYRaRDRDoEKJomAn7kDAfOMOAMo6GF3zQXugM4Imj7LS2ScUZqe9Xu7cXY+a/zGHipwquVtvNoW0QHxmNsPMYeCb3/7LO2Nz2/s1FE123Y+vHRXHDhhee/+3lg5PUbKDXh15brhdl/SEj4bfymEzGaBgVjl2mdCtoRBWwKYJEBsxTlceoobRG3/G63AEJE02J1fXrZlxUbDpeveC1p7XtRUGc3yypNMo0ZV5sklBsjJcAEl8MsXmYZaWRNThoVpFHO/kkZZTBz9E2ZnpXs2SRdOHSZgNojS6Teqa+yz+qTcM2fn+HIz0HsMxWBm+4ikbRdBJzxpGFj+fnNGz4sTn0rN+2PawoOx1H1ETuahIxTBevdW1Rkbxn6LTaTmAKlpe76VOlJQQYrI/ndYQ0svNs/DNUIjtJYojWw/ZWwMrs7o52KNKSXf56auGOPByNRQd32mVo5jOyDtHXf7lJ7jPxmzuRrD2MtrI2FZT++e3jAyadfzE96c4b2ny9p/yZS64QVegFUI20CYBfSDo/ZhTRn974FBLSdz3RokYw9grHDkasWOh8JabOK1CWUXciGsZE7P1mZoY8TmhfP0S99Sb90lgcjw3VxYR6SZJGyzbQreBmqgzC50BC3oLW1X9JmBe7PW7bAfEPcPI+9Ylg817B4jmHxy3Ambp4xZp45Zr4jZq41ZsGluKUHlxTTK1/Ny/x4yaaLkeVmXtWfFjJfh9NfiehmEeUSUQ4hsApoC05ZZaRDRjoJ0oXD5TDthQC4+MgEtEvY2kS0Uwxg4ozOTUTZOWNbQEjZBQCaEDjgnRNYBR0YH0ARWAjjma1zqlwv7XBKQM2mLYdO5JAXn3/uf48Eu9/6TUAx7felUytKsQNB8i+m70uyfr8q4TcJm47FamoVjFmmtclpmwrY5CgjCEFbIKVw1ustgFNQZhRBSd0Up65PK79YvuHwlpWvr1q3X0npvRgp0UCMxJGvPNK7rFISmm99VW/1Vd/00Gymrzb5vjzhGbB6la/dXLn1ct917vt5NhFC+8NkU6VF0A4B7VpJGjaUnd+cf6g09e28tF1rCo7GUA3hO5oEjBOSjBqSTG+aSgMr5N6hsbjYm7vd478VrXY3voK04pRdQDuEwCYnDWnln6Wu2v7uG6wa+RPy9r9vMHIU59TaH1mzNUZ+11J99k9zJ1+b4MFIVPPj2rgBn019cXPCm4vAP0Opv8WV6WK36KPLrHHlpmUV+hWVupWVDch0K+E8Z7oVlffSllfqllfqlqn921K1bqlat0StX6zRLdbUL1NfSa74MmvzqU2Z+5ikXx9YufH8kiUXl0rOL+dfWC66sEx2fony/JLo80uizi9R+TPP8qXK89AU/oz9SMWucGGp/MJS+Xlk7PyFpbILS6UXlsrOL5V9wdmdtoD0i2UEMskXS6VfLJV9uVhRHaesjZNVxylOL1mzb+lWJn5nYcb7yfmnYjdfWQwcMaRjsca2QmNZqTbFqw0r1foVal1CpT6pwphUYUqsMCVUmuIrTSvVphVq03KvVRpXVJqgoeUrK43xlYYuWYU+vrdsZYW+L9uKSr3HdMsr6pdV+lrDskpocHkFnFlRAU1KmoTAnFRxfnvhvtr0MuMzT12fEPizwEiUmLDlW+P3WzLfSox/PaHgeKymRqE1EVVWKWNT0DYZsBI0tLuUQ5LbbIctQMFs4Cy0COALD+jUunbb5a0bj2yOhxipAnoJZSbUJonGLCbNHrBBkTCUDaVYsBFkO4M1iKDhMGymlfnm1xG1/qjNmj/nP2F0jacNfWdwyiambBGMi8c0LqZMOdsuFW04UpT6bnba/pSCk1GUPmxHcyTjVCCcU2gsvWekxfsGwfe1Qjfm5WQv7vZdaiLSItdYZaRNDBwCximg7XLKkFZ+LnWV9t03PmZ543rL9est19rVjeynaiSHkf2RIqGb0E+osjP877vvWq5AjLzOSpHjoRQJ60aOGVDzxIvM8jfllf+M2va39GJdWqFhbbElu1SXvfFcRs7R7Lyj2blHs3KPZeUeR9NjP/NpZu6xjG5ZZt7x7n2x/bfSc4+l5XVoqXnHUvOOrcs7nJZ3KDf3QGHWvm1rdm1f9eab8eDdhMK9q7LfXZW6d1XmvoS8vSvz967ceCvbsDc+f2/8+r3xef5sPfo0n11nX3zevvjcvdDy2Pl98Tn74rP3xefsjc95Nz6bs9tvgZw98bm743N3JeTuSsjzTPN2xa/fE79+/8oNB5Zv/GB5/oEV+e+u3Pz7eKBN2F657veFOQfS84+u2XgqZePZNRtOr8s/mZ5/ImP9cWQnsvJO5OSdZC0772RW3snM9Scz1p9MX38yPf/TtPUn03JPZOSdTM87wVpG3vGMvGOdW2be8ez1J7LzT+b0lvXmb3X3oD7Nzj+Zvf541vpjmfnHMm7a8Yz8E5n5J7Jgi32avf5ULrKkTV+sKDpfmPfxvnW/aV6W880vHoP1mR5GMQj3txoJMfJ6yz8NP5Zn/DEp/s1VBSdjNbVyrVlSZSMYKEhCjETWplQu92fvtACb0k1Aw0SgClKfUlG9deORspWvJ6/dH03poVCpMQlJs5Aye2LYYNQ1azhl7cgklBX3rOZdn50RoeU4sEpgFBkMHWZn2qyPA7iFn5WJ2eNFbSKFjiVI8oU1vqHJSIuUtPIZVyjTGAUsqRU16zeezE87kJ7+YeKmsyrKFLbzajjjZEsGS+HKvWFsMsDunate8dn7dYLqjX2+ey3jkyARprIUQw9kmwI6tZ5NTaT3vPERqhvZco3DyH5JXvfVTrfCyP9BNfLPcyffYAcl41GKnZFYy+gBxsen/3bx75aX/X+JW/5WskFflG/YuMFSVli3OetIQfKuwpR3ipJ3FSbv4YxtgU3JewpS3u2GbUrZi77Ffn1PQUr3bWPKno0pezagKTvvM929IYW1P25Meas4+c2K5N9rE/+4M/4dMvEPW9b8bvPaX29Zu33rml+XrX5ja8qbZSm/L0t5q1P7fVnK78pSfrfVn5WlvFGe8juPvVGe8nq5ewk7/3p5ymteK0v5LWe33wKvbU15Y8vqNzZD+93m1W+Wrn6zBNrvN69+qyz5D9uS3q5I+kNl8puapDeolNeo5FfpNa9qMv5QnLE7Z92urNS9Oal7c9fuXr9294Y1uzau2VWwevcmjxWu3l2I5gtW7964ZveGNbs3rN2zYc3u/NW73NPVuzak7Nq4+p2Nq//YuRWseWfTml2Fa3f3mhWt3V28dk+ft93FcD93Fa3dVbhud+G6Xch2F659t2jt3uK1+4rXvle69uAWZDnpR9Myj2lSdh9dTv5dnvKfSRNbxmAtE+5/jLwO33heb/m3/sa29N3JK/+wquB0rKZOrrVIquwSxs5ipBRm2bG2SU7N/dk7LcBKRkIAY3yllD6x8nLZxiOVy19ft2Z/HAkxkk+aIimz4CZGtnJD9UiU7oUsakKvV2Sd5HdBaUhg6WpIRzAxCUxP4rt+hyKqZ+P33wrudkPlyGQoztBX5VOQZgVpETDORVqXgraurqzLKjidnf7h2oyPEzZ9pqLMCCMdbKIXL6Hd7Rn2BGC9lLs+FaOk87AglTv7vPv8gSdAv0io08FOei8HFoyl8F2JRUUaMsvPpK+i9vzuEIuRP3IYeV8RWb88GBYjf2T3HWHkN20wchTW8lCwcfLzv13yxvLyfyRv/uuWDbrSfMOmjZathbVb158ozjhYkvFeSdr+4rT3OStxN8KBovSDhekHi+6dFaId8Dc9UJj+vsf2F6e/uy1tD7Nuz87kvdr4fRtXf5iYc2xl3ifxuR+uyj2yKvvTxKwzSVlnk7LOoenZDqZnkrJOJ2WdTvRnSVmnUrI+TW5lp5KzTidnnfIsPJmcBS0FTo9zdvstcCIp69PE7E9XQTu1Kvt0Qvbp+OxTK+H0bHzWuYSsz5KyPludeToj4/DGrPc3r/t9xdrfbMt4szjrnY3Ze9bn7M/P2b8xe9+mrH1FWftKMveV+rOSzH3FmfuK0TqFmXu9VpSxtyhjb3HGu0UZe3xsd1GGHyvO3FOS9S47Lcl6925bada7pZl7+oO9W5rZxvbCXsh4rzTjQGnGh5szPtqa8fGWjE9ysk+m553SpL13NKHq79Fp/358EqzP1FaNfMRx8AhkLmhs3chW1T7+d/37flbwAxJkS0vL9Zb/6G9UpO9JXvn2qoIzsZp6hJE2iUeNlAGrDOa0hTjBWS+3wE2MZBBGqi+XbzyiWf56KsJIMTBHUKZIYBbA+MnOANKLE2yazVsyHtSdPLzEzkCSvH8RseuHxraMDHmKyn2mCtIs94ORh9ZmfJSw6ZxHjeztTK3efu86Q7InEhvq6QcjfVK2+r5W6BfzNzESWAjKLAfwJI/SGLLKzmSsova8wWHkT+y/fgle99dOt8fIP8/1SbGDYiOvjw268uQ0Zvnrqsp/LCn/6/rChpxNuvRic0ZJfXrphdTis6lFp9cVnlpXeDq18DQ7TUXzP9vpusIza4vOds/WFJ3pGSs8s8a/nV5TxNqZNUWn0jed2FRwvCz3Y7DuQ/Wq99elHY3ackledlGx+XPVlmplaYOq1BBVYoJWaowqNaCpsd3UEFWqjyrRR5cY2ltMiS62pCGmpD4GTlnTxZSw5l0CZ2JL6mNLajm73RaIKamLLqmPLq2LQqYqrVeV1qlKaxWb62WbdcRmA7HZpNxiii1pWFl8cV3xmcycAznpf8zM3rOu4IO1pUeTNx9LKT22tuTYupKjqSXH0ouPZRYfh1Z0PLPoWGbxsQxk6cVH04qPpZUcSy0+nlp8fF3RMdZSi46lFR1NKzqSVnTYY5+kFfmx1MKP04o+SS8+zE7Tiw/3gmUUfdIf7EhG0dGMoiMZRYfR9GhG0bGMouPpRSfSiz5NLTqTWvxZetHnaUVfLN98JXZrTW7hp3/Ietu2atPVqVNaHg5oFxvZnzHyhnt44B0lwIeUFyP/q79R2UqNNEuqrBKUZYdlSA4je5ke2/ycAKUbllH6pEo3Rq5bsz+G1Au9GNk1NZIdRnvVSD/sxLIikh/b7AOHkWxzuTES6bS+GMkqk3ykRippy5rKmuyCUznph9ZlHFrl49QKN9KLQM7SnRefbmvGm2nJLUIigPRzzvSflwte1kW9YJYBk5QyRyOMzFxFvcthpOcxcX8RWb88mlYY+Z3bqfXHCchLagIGo27GYN89HHTuqee2JrweSf1DrPlL0ub6hNL6pVtNMduMSnWDXF0vV9fJ1bXI2Jk6tOTnO5Wp66Sabhqhru0Zq6wl/FsNoa6VqOsk6npCXauqqE7adimr8MzmrCOlyQcSso5IqTqcric0V6RALyEtEtImIe1oapWQnRlBWqWaNmaTaqwyjVWuMctIs9RtvjELvgvhOnKNibPbbQEZaZJCM0pJPUHpJZSeIHVSskFM6QXAGEGbebRVDCxKjXFJZV3itkuJG44kZr2/JP+QcstpBXUZp64QZLVcc1mhuaTUXFapq6PUV6LVV2Iqr8RUVseoL0cji1JfUmkuqzTVSvUVpbpaUVmtqLysqKxWVlarKi+rKi+pKi+qKr9UVV7oxKLUX/ayRau/7A92CTXypWj1xWg1O18drb4Spa5RqWsVmno5qVNo9HKNMZR2vKJ1RmtqtpYcOpehqX32uR8nts/U2m8x8tqNG9d/+smXJFH0vl+MPIViI00cRraBqHv7J4qNtMHYyMrL2zYcUS9/fc3a/SpKL6A9amQXMNI7hu4QI92F9djyem2VZw4j22IkZZH7GmmRURY+41qkdaloy9rKmpyCU7nph1IzDiVuOhvliY2UQB2st3XdjrLLdoUqva68/Rog/e28iaCNLEZml53JXEXuRRjZAvOacCl2+iV63U873RYjL59xF/yYgLVMdJeO/PeEoFNPP1eU+PpC+h/h1F+Wbq2P3VovqzCKNOYIYA6nzeGMKZwxcuZtgTDG2G0LpQ3d/m6Xv2gKpU2hjGURbY6gDdFAt2rLhfzc45uS31+WfVjMNIgZvZSsJ2ijgDHyGVMkNOMtjc8YBbSpAzPy/W+B3bh7ymdMAgb+KGe31QKobQ2RjD6SaYjUNkRoG/hMvYCp42kbQqv0C7Yb5m838rUGBdWwTFOTUvFlSv7HyRn7YzYcEW67yKsyz9tuW1BlDa+y8LTmCMYcyZj5jEXAWIS0RUibhbRJAJfA5RHQLBGMNYK2RNDoT9ocSVv40Mx82sSnjXxaz6cNaMbYfipgTAJt7xo8qfqLsWc+bHAB7AIbn7FFMjae1h6udfC0znBt40s7//zcq3/ha8255ScP5+384vmXvnskpJ0aOan/ObX+cO3HH69f6wpGVrjVyFOxmhq5FmEk59Tqcey8twwppSxC2sanbUpSv6bicsWGI+oVMMWOHOgjEUbywa1jIztER6+UhBRIVmrzerT6Hnjvw4+/oX9vA1j7fehMjWyFkbUejPzofsBI73lyv8zgAGIkQZmQGnk6Y5Vm3xsfshzCZWq9n3isnx5LW4ysPvvXOZNvjEfBNqwa+RD234eDTj/9XPGq1xdBjPzrkrJ6VVmduNLAJ03htCWUNocypkWMMZSznmkBU5j2bps5lDGHaa0LGUsYY1JojSvKLq7PO16YvG9p5kdiph5nDAq1TgoMArohkqnnaet52jp/xn7EflofoW2IYHQRjI7nxxrCte1NF67Vh2sNaKpnp2FaPWe33wI61Lz14do61njaughtXZi2YWGVbt523fztOoG2QUXWJKgvpZWdy8h9PyP1neXrD4srakKrHC9vb55T1bxQ2xjKuMIYVzjt5NHOCNoZCc0RSTsiaBePbgynG8MYr7nCGCdr4Qz8lAfXcfBgSVI7nEEbaTONYJwRWldkVWNvWoTW1R/MEaF1RGjtyBxohxsjmCaetilc2xSGLBzOX31p51+fffX/IrW2nPLTh9e/+sULM797dGAbjPzy6cecHxztKDbyu+swTrLPxUbeFkYmwdjIT+M0VxRao2+mVi420pem7sk8i5EqUr/Wg5FJ6/YTtB6+gqJMECNvFRt5C4z06JCdHB2HkSxSejGyjUerAsVJ+qiRHEbee+Zv/xbAu4TFSAllUmkMmWWn01ep971xkEWOGy3Xb3AFP/opft0vu30TI9mCH9Xn/m/OZOjLOg5JkWNhzY/vHw46O/X5zQlvhIN/RJAQI6PK6vBKg4A0RdIWHm3mAVM4Zz3UAlDk6Q2zRGptYYwlnDGpGGNC2cWNuUdLE/esyDgoYWokjE6lblAAnRjUCehaPlMbycBpO6vjM75Wz2caIpmGiA6MxzR0bDrvR+Haen/M2Z5CuSXuFuBp6yOYOtYimTo+XS+g64V0fSTTEKbVLazSL9TqRYwumqxdpb6UtvVMVs7+7LVvr1p/RLqtjsc0ztV+PU/7VSjdFE43RYDmSNDEB40CH+PDhVcjwFUefZVHN/PoJmSNiB4bI0BTpNsaI0FjJHChqXfhzRk+3SSgmwVM7xrdDH+0r1ujgHF5rFHANAroRgHdFMk0RzBXI5imCKaRTzfymaZZO755/ld/ETLm/LKTR/N2XHjhpe8ebatGXvSHkd9d/54FSHbGg5HXfrj24101rItb//7ajz90rEbCWh8oxc5/9Te2ZexOjP/DqoKTcZpqpdZAVFm9BT84jOwErnrnIyGAamQUqV9XcbkSqZFtMbJjp1YIkIgS/U/Rp2zW2c6PBWKkJ3LS/6Y6+ZX74yNPW8EEtig20rf0ohyl2GFjI5FTqxcjWzu1etLe9mYb3qlTaz/tvk6FUzdGApOKNGSUn0pPrPRgJPT2/4nDyPuFx/rpcbAYeY3NHfzddy2Xznw7ezJM/TfWHRjZMhq7Nj7o86kvlMW/EUH9I5L8y9Ky+uiyOqLCINaY2BRZAsrM56yHWoDNXN0bU9qC3BFNsbQhpexicc6RrQm7VqW/LwWXCaZOoWlQAh0B6nBQJ6brRKBO3NbqxaChvYlAg5D2bwK6oWPTeT6qF9AQhKAxnHWpBQR0nZCuE9H1IlAvBvU40BEUNDHQ8Wk9Dzqcm3DaGEXWxVdeTi07l5Xzfvaad5I3HFdtaxAC5yLmaijdzAcuIeUSUY1iyoVTLpy8aWKqUUQ1CalmAdUkoBoFlMttAM6gb7nE8Lu3Nhw0cuavBVw4cLYzl4huFEJziWj4qRg4X9n+1YydXxO0vnDr0ZO52ovPv/D9IwNaqZHjML9q5HfXfDDyGlQjv7/2I2S3u2xdxcj//fjD99ev/dg6NvLGjRs/oeLG7jfu11v+q79RkbE7KeEP8QUnYjSX5VoDoTVLGasC1Y3snC64T3uhBYTAJgC2KE0HGEmZRZSZrSThF05YSvT7EbvQrxdrm+NyY2Q/JYqe221/bWWWUiY5aZJTJj7jXEg7lcC8ttKNkevSP1xVcCaKMoXuaA6j7WwllU76gvvozlvg5rnaMUniwCShjTgwcxjpSaxz8/9+il73026zGAlf9P7U0vKf/7ToLv1r7pM3MfIhrOVB7KdxgeenTiuPfz2C+n8sRsaUwdhIidrkfnNEmcXw0cBZj7RA75U7QimyzXHAsLrsYnHu0a0Ju5PTDyioS1K6XqZpUAC9lGogQIMEwClBtTG9hDK0M70E6PHumw4HbhMDnYizrrWA2NNoEkj+eillkCGTUAYx9Ew2CWizhDYqyfqVlZfTyr7IzvkgZ82elPXHo8vrceDk0c0RoElMOSWUg0AmpRxS0iHzmJR0EqRLAvHSicyBUzdNQjm6bgTlkAJnbxp7RL057e7ROaSgrRHAIWGNdkiBXQocC6uuzt5xVQEaSrccPpNDV0+b9sOEYLf/yAT3678vn57EOrX+63rLv7wFP659/79rqOwHnPnh+2s/sNO+gpHfdYCRN366gWTIH2G5jxst3xl+qszcnZL49vKNx1TqS/IqA6E1QYwEVlmfiQ9sQzU/qz9FwCYEtujWGCnzOLUKKLOYNHdSx5Jtq1uucMsm7WQLP5+P2rcSQUGMlFFGGcRIB4uR69R1OQWnctI+WJP2YYIPRrIU+vNprntypGyl087dsMXAhDNujMzk1MibCAnn7ice66fH8lNLyw34eEb//etfLc2WH0KfdWPkWKxlNNbyANYyLvDC1OfKEl7jgW8jqG+WlNV7MRK+i/Hxnmh/1+KW9OUWEAOYwDOWNCSXXdqUe6x01Z7VGR9Gk9UyuoEg9TLc4gmKAAAgAElEQVRglFIGgjJ4sYSFE3YqpWDIt1+TUqbumlFKuY2gjBLObqsFgFECYKewjc92jYQyiQE0gjbIyboVlZczys/n5Xy0fu2+5Oyjqs01BHBG0k0C0IgY0ialbFLKKqVsMtKmgGZFU7scIqUdfepdx4rWtBKUr9kIijXfha3mfTbCburuTlvvXqs9uUsfwdYD9h4yVAcRWAm4QbjZRVXNc3Y0q0DDli2Hz+XQV6ZN+3HCgDYYeeHpR1mM/CfEyJ9+uPb9D1B+9GIkq0P+8B3iyb6EkTeu/fhTq0ytN6AcyWLkD9B36ycPRq56e4UPRso4jOwzCN1ejUxe506xE0mahJQZJ819+aF4/+4bBEj28SCDT1kTX+tYyDiUwOSDkYfiC86qKHPojuZw2s46xN6/DdI2we89PFIOI//+/LiWZ0d9PX3iRZXoRl3D/1pa/tHS8j1MRQsRxQuLrRGSw8g+AZ6tMPKf/2r5k+Na+LSuYKS8wkioTfD1DbD6c53oQ1foPbw59PGfxoEVB5YY0pBUVl2Qd7wk8d01mYfiNFfkQEeQBiltZqFORhnl7UwGccV8V42gzJx1sQUklFkCkKFGg396DZgkwEDQOjlVu0J9OavsfH7OxxvW7k+BGHlFijBSCFwEBEiLFH7dRFCw+IoSmkVJ2pQIKeWkFcbX3Ox07hrvwRZwMzlL5j5T70+wYpt1obZxzvZGFVm3ZfMnZ7PpK8893xYjx2MXfuku+OGLkW6ShMl1oCPr99d+gKGS137oYxjZzqmVxchrLT8gv1YPRia+vbLgeJTmMqtGyhirkrZxamRfeN60j41MWbdfAfQwlbMHI7kRw73oKYiRrLEYGam1L2Rsvhi5Nv2j+IJzECO3N3EY2Zt9xGEkh5F9ggi7tRM3MfKnlhaEkT/6x8hpbdRIFiPhhQasvXm5cb/Vgy3AqpExlDGxrHpj3onixD1rMg8t1lQrgJ4gjVLa4nnowEiKNoZwwjvG5WbuZQu4wyvY2Ir2kTUejJSBmhXqS1ll5zfkfLxx7f6UnGOqLW41UghcUEODGGmCIjAUoo0K0qgkLUiNdCuTsGw1HIrAd9k9eB5ym+pKC7BX3EKta852l4qs3bz5kzMQI1/4cUJIKzVyPHb+6YlswY8OMBKiI3Rq7VcY+WMrjFzFYeS9vON0cr6ymVp9U+wkI4wU0GYBaYKBkciptZMtcB/1dAvcBEjvE11KmSK1toVQxjeyamRu2sG16R/GF5yNAubQ7Y3hNHytyL2a6em+8H/Zdo6ROOfU6sEbTo30tEQf+v8mRt5wY+QP4dPcg5Jxvk6tECPDwbfh1DdxMMVOvbzCKFXDoaSMw8g+4090u3e89hi5OvNQLMRIHXJqhU8fWTuAZHmSw8jbbe27t37nzyAJi5GMzouRbjXyJkY2t8JI5BzbBiPlpE1OWjmMvHudeMsty5Az4CKEkUqqtnTzR2eyQc206dcmDmyLkU91FSM9+VrvYqKdrqbYgbGRN/yk2PGokT+yyVrdsZEcRvbVp4634Ic3UyuLkbAELYeR96bXbomRtbkFn+alvb8u7YOEgtPRwBS23cXjMLIXO6vzRziHkZxTax+ixna70goj/wWdWr/vACO3JrwWBr4Npb6JKa9XeTASOrlxGNmLd5tbjjVva4U2GFmS+K4HIxukpE4OIENyGHlbTXpPVu78GeQHI3M/zl+7P7kdRqKdN6P1oeSoIE2sGikn7TLSJruJkaw/s//3qvekBX4OPwoZnrSEIoxUUDUlHWHkOOz8U507td5UI/sRRl67AWNkPE6tHEb21aeOkLYJaJuK1K/x1I1MWQudWoWcGnkPuqwtQPqqkXytbRFtU1LGVHVNbsGJvLT3UtMOrCo4FQOM4RxG9m5ndf4I5zCSw8h27NaHFrAY6S740RFGjg28MHXaloTXFtHfLgTfRG2rV5ZDNVJWaYJVbTmM7N0bTg+OmH0xsiDvREniHoiRZLWCbpAhjGzjyOr7J6dG9mBH3OGmOn8GeTFSDmpZp9b83I/z1/nFSOigTsAYS/j6wA9GQi8ndmTCpcnobYpmS4jfxMgtHaiRHEbe4eXEff1OWqA9Rq5eu1+JMJKLjbyThu3WdzvHSHsobVdRxjR1TR7CyLS0A4kFn8ZyGNnrQ7rOH+EcRnIY2Yeosd2utMdIP06tCCM3r3ptAf3tfPobFcJIWYVRXmlSkBYFh5G9fs/p1gPFz6i3E4yUkno5aBsPyWFkT7V8z26n82cQh5E929r3amttMbIjNXI8p0b22zvyvTq3evB3/WKkioJqJIeRPdjOXdtU5xjpCKXtUTcx8v20tANJboxs5Jxau9bCfsZV3fhi549wDiM5jGzHbn1oQVuM/LM/p1aEkaWrXpvHfDuP/kZZUa8or5dWGKWcGtnPhysdY6QOYaTZlxvbzHNqZDceFnfpK50/g3oEI92xkZwaee8ueYiRlNupVUnVdujUymFk+8uso4pw7de8X5d01AKdJ03txrfaY+Satfuj7ilGduMo7pfToHOMhGqkByNP5qUdSEs7mFRwCqmRHEb2DB928UTq/BHOYSSHkX2IGtvtSnuM/B+vXYqdsYHnp04rWfXaXO23rzDfKCrq5dsQRqpNMs6p9d4NK7t4g+pkNQ4jO2mcfvRR588gDiP7UVd2sqscRnYzNhJeHpRVQlnx1iahLCxgdNLo98dHBGXB/Rms+wwbwT9sELBkEFzBr3XEn20xcvnra9fuj6b0InBv1Ehv77PnQJtpR0dxf/Q7qsflp4gzSrdt4ms5jOweK/q/Xti4U9Tmt73Zzh/hHEZyGNmO3frQgi5i5BdTpxUjjJzLfCNnMbISZmqVcZlaOYzszy1wf4wWOn8GcRh5f/Qyh5HdxkirhLLhwCZua1YckeT9cX50dBQsQ4qBRQQs4taGgy5gJFqnFUm6v+V/rNwGIzXLX1+3Zn8MpRffM4yEvd+REdT9Xa/MP/BwGNnRxdK15f5b9ZYYSaBc235/ovNHOIeRHEb2IWpstyv+MXI85s4gPxpreQBrGRf4xdRpRYmvvaz99mXmG1lFvcxHjeQytfq9LfSLhZwa2S+66ZY72fkziMPIWzZgv1iBw8iex0gxsEru69dg8NZAWXBEj20wEpZwhNm0zISnKr1nHOzWr6Aaydai9TftSMfzxcjKDUfIvoiRdgnlNg4jOafW27/73x5GEqTZax39VuePcA4jOYxsx259aEHXMbIw8bVZVd/O1n4jrbyJkWhkc3+/zvP/yrWju0H/Ws5hZP/qr472tvNnEIeRHbVb/1rOYWQPYKQI2EStNUnJXdCjoJdO36BT9tbAYqSPFGkVAytOW3FgFpMGAvjxe5RSJl+MxEkTTpp8qbLvYCQ7Rvd3MZullJmgrBJgkwCbmLTiJKtMQg9n1u45Rvrs/N0YSPkHno7UyNS0g4nugh99ITYSdp+/br3nYzJYDguZ3wun7T4TpInDyBZYrukaMoiE1+HcT/9qafmhpaXl3/+v5aN3/v78uJZnR309feJFlehGXcP/Wlr+0dLyPfrCjZYWDiP7EDW225UuYeRYqEYWJr42s+rbWdpviMp6KVIjZWqUqZWyysh7fl1zO9CdFugII+V0A5eptU8+v/z3MoeR/aizur2rHEbeKUaKgF0IHELgEAGH2G02SQ+nGodjXzlpUZB94rkIbw2UBSfN0IBblhTTkKWFSKWUMjaCMhGksY0UyWIkTkJBkkAmo20SADfFwuRtYWQs2YNOrV66sEo7ewXArmaWUlactOCUTQIcMDiWhAGx6CK09oHIWDOKC7JJKRtB2WC1pQ78HnG1iXAPsyClEKSpa/eRW2Okp+AHTLGTmnbQUzeyZzHS2xf+H2D+jsUso6D1SZI0SSmDDJKkX4y0yIBdCnsTdqgMdRZBGlmY9HeksE06f4RzaiSHke3YrQ8taI+R3/GmtbRxakUpdliMnKn9RtIaI5WUFdbF7hvvXju6SLnlflugU4zUcQU//DZaH1zY+TOIUyP7YJd1Y5c4jOw+RuKUXQScAtoFDThFwCmmHCISRksSAI727sy8g10rAWAYHkE5CMqJPCetvat3ecfr3l2Ch4ZrjCK1EQdWEW0V0nYh4+QDR7jaLKLtyh2NBDB3hJFi0iKirDiwEYxDsb1RQltxqO+xEZX+G629U2vqmv1xPhgp1pg8IOd/C533BWI/G2pbhwTYpcBGkGaJhsUqVPcWDsphs7N9IQF2fqVVSDklVV8JKadAYxNrIExKSIiRnf/W3fsU4SJ0qJaQFoW2Uc64JKRVBqxtMJL9kyDNgm1GnISOuDgJj6vLe36bGJnug5HourjzgR1qZ6uMRj3VGfa36gukIdtRD/byFdRqN3xPALhL0Gxoau4wMRV0YYV3AAk0OwHXNxOkQaIxdAL/nT/COYzkMLIPUWO7XekQI1mSZGMjUcGPIqRGshhJ+KiRHEb63mr617wvRm7MO1GSuGd15qFYTbUcNEhJDiM7fKD0tV7u/BnUIxgpI20y0irnCn7cu5Enh5Fdwsh2EhMc0omAM5JyRTLNQqZZBFxiyi4hrQgn7DLguK3rmd2+d4rUEpbZrBLKIQaNfNAkrPpTpPYqD7iEtFNMsdKE+27SZQDo3t3HhEQSt8ed17dWQpqEGiMEPMYpYBqF2qt8bXMk3ShiXBLGTsBhbhsnPai0EDCxrYNPOSNIVwTp4LupG0ph7Rr55t52hJG4J8XOnWGkVULZxaBRQDXx6WYx0ySvcuEak6BcJ0P6jwS5reKUHQcuEWgS0M18qpmnbhQyfxYwfw3XfMUHX/HJpkiNQ6ix4xqr5G56Uvm2koy0sMaeMBLSTAC7mHJEVlgVO67KtS6CtCi1zjakgTASRtaJ1TYx2SQCzULKhVMuCeVgxa5bnbq3xsgoypiurlm/8WReams1smcw0oqTdkLbrNzxZ7n2KgGvBUtHAqNPc1nFwMUHVwWgWQyPt9UVdKtDvnkqdntN757AUgQkdC6QwlcnNiHl5IMmeIHTLjGUHM0yyoQ8hNnLh9UnLQRlE1N2AXAI6EYh1SimbARpwNU6icbQybH7eoy3mecwksPIduzWhxa0x8j/smpka4z8Yuq0TYmvzaj6dkYVVCPbYmSfiQTp9n3j5/nF9hi5JvNQnKZaAXQy0iAHXN3IHngk9cKpxWFkLzTyPf8JDiO7gZFWAuZodQpBYyTpEJB2MWkm1HqZRicnjUjxcEppZ/fQzjvWROocxBuccgqBKwI4F1L2lyuN89UmPnCISda9zR351r3f6srJh7bsHdeaZJQZvfVh/eVgMKQA2AXAKSBtArVJoDHzKo1iyqrY7oIxkMip1UeTRANi0iinrWLSGlZuDq+08qGia8cBFPHYWil+90oIbALapiL1ayousyl2WDXSi5E4CfVMv9/tZCFqbZRxl3KKSJcAuASMg1dhEJMmBWOTQF9Q2NcS0oZTdjHlFEGev8qjroZV2AVqm6DSJqh0CEmXgGoUgmYhaBZRjUKNXay57T3pZCfbfOQ9Q6Bz402MhD0C668AO/KsdkbtbCLUDeLyWiVtlSJv1dbtg2LtSBsBdVS7iHSJIUY6PUjW+f53CSMzKmvyN55cnwrrRiZuhHUjedsbeXeGkWx/wR4BLuWv/iKr+lqohr3TieMu69uJlGS7CDRGUlf5ZJNQ48A1bgfRNs3bg3+yPeXtL7b94VsYT68hKdImAvZI0sYjnQLtV2K6kYADX4iR3nc3BGlQMFal1ibSNAiBDq+Cdx4RfFthxNU6XKPnMJKNc+RiI/sQBd7xrrTDSPt/IpBTa3uMTHptxnYOIzu/afezT9tgZHHiHg9G6qWkUQ4scsrUkaGwhX52vD343OlTm+oiRspA7Qr1payy8/m5H+ev25+cc0y1pYYAzki6WQhc6O02cgqD6Rvhw1FBmpQwyMsmJ+1uNRK6r7Mjk7Z5BPpUg9yXO8NhZOcYaZd5XOZkKMAM0Y6ZgElK7TjtUjB2+bbq0MyDv1Rpn4p9dca6DxYWX8C1Dgljv1WyVpYA3W6iSKCwymHoo1VG2qTQ1dCJA5cENEqZRjGpn7H+8MMrXh8j3jZBSr+Q8YmgvE4KwQn65qGBaSt30546Uz0oi5w50W+xcYMssRCMQ0I7oapDWsSbL7yQ8NbjgopHF5T+csUuJTDKgVkCBcabyMHOK8kri3IO/EJV9ajq13Oyj8sZOw7sItohph0iyoZ7WrvNIdwSI7uhRrLgiiORRwJdOs0KsmZW6p5HcPKJZW/zSr8kKCNOeTMAwQKhEtohAvbwch2v6POwrINPR2knS7ZNX/nGK+kHIwo/l1QYpDTsMslNfYztl568r3nkR1iZk6BMqGgK6xXpwGkHyhJsUlD6yMJPp8a++rjyV6EbzqpgqKrb21ZcacDV8GWHlLJEaWqeVDJPRL0atukzcaVezjQSUJC0Qw1WAwMs2/SC58+bfeobyOebYieaMrIYmZ96ID3tYNLGU3GUMWJ7Y0S3MRJ6C9twaHYC2GXAHqV1Cstrn0/7eHr6MUGZTupRgFGzQA9kKWWTwceMTQ4z6DrFwCXXOsTbamekH32c+M2U+PdZCddzUB0d7G0th93tjb30eKtCh1V4nUIREoU1QuCHru849FQ3SyouPZf8x0mKXz+X9WlYWb1YA9NToUTH3pPHKKMaBFs/n776rckxlc8kvRVe+qWENElIs0hjxN1XmXtldJXdnG+jQPr+yamRnBp5x6x3FzfQCiP//a+WP3cJI70pdpSkBTq1cmpkh7fx27qz9fbKHow0JJZdKsg7Xpy4JyXzUIymWgZ0CCM7USPZO3Bv73CPPkfun52/2xipIO3wEU+yUdAcRt6bM4fDyA4xUspYFTQb4miWkyYFaZRRZpyyiGmzmDZKGLOKMS/XXFRk/nHK/JTg0dMDJkgmKHbMyD/J324RMhYJsEhbJ9rxZo1DY3q4ZTlplJNGGfRwsyo0NqXGptDYFRqHTNMoBV/h9Fc45ZCSDeLNnzwiycAem4eNfA578JVhL6fPy/xQTulRnhubjLIoNEaZxsgKL7d7O/PVTLzzXg1HAinLIaJcYqoRhwYzyogpq5i2EoxTStkVlbrYrefnLa8a9qQQGzodC35xwC+WzE7ZKy6rldIwDg06ssJcIEbE1aYY6tz0xcXYAy9hD818jJcv2nBUQRmF8LVTo4BxihBmtFdXfDFyW/5hcvnraWvfi9XoRKQxUmMUoSQ9rdW2W19O6AZnRZmBLDKyTr71U2Har0c+I8JGvBj8cu6cnCMCdR0ODILKOikwKGiDEtSrqGpRycmXV//+OXnhE3MXh4x5Dhvx+JCJMyfNin2SlzN98avCTeckaiMEGKivmj25N71+id5MPLfevTb96Nay4Bs4aDKY1MckAiYhsAiBXQRcONVEACcBDLLy87LCj55RbA4atwh7RDUn7cPYHU42+k5KWUSVBkiSCHSXbTuOjX4RG/3cE3jh/Mz3FbRJzjilwKWgXXD7KDTUe0r4NO+tMTKqNUYmbzy1GGFk99RI9t0K8u524sAupc1K9RV58afPJ/x6RGjupNjX+FsapKQd7iow45RRTBphtCflkGocCo1DSTnFlEsA7HHURd7qnaNmr8aG8wfOL1XAZMJQxPY5tNvuF99uYiVEOWVEQiJ0WMUhwdrQmW+Wk2aFxkyQFiFli6Sd/KomMWOTkzWRmb8fMjUSGzV38NycZ1fvFVTUiWmziLJIAIyBRJl1zBL1FX7J0SeIXGz0Lwc8uvBJ6eawDcfElFlAWvlqEwGscsokIw3IadzrCmv0zYrsC5DsPIeRHEbeRQq84023wsj//KfFqfvHoqdhip0uq5EK0sJhpO8Nqh/NuzFSo0vacnFT3vGSxHeTsw5FgSsSul6i0cEHK2n0p0bCYIGOX4De0e29H7Ve39lV9mU9fOIgd7O2U2CSAANB62RUN9VIBWlHmiSbe5LDyHtzhnMY2QlGWuS0FektRgVpUKl1MsokYewCxihg6mTa2sXkl3G5by2ISBj54BQMCw6ewPtl4q65Wy+EbzfyGRMBLDJg8co1MsokJ6FTKCI0mM1FRpmVpF5BGlCglFWhsSvVdpXGodI0KjTNcvAnKd1MaBoiN30wY8n64VOeDgwaGIwNDAwejY2dO0VWLq2sFlMmIZQuzSq1Tg592257QOy+yP1e4SipjISyQ99dcJVPfS2gvhJQTQLKLmLsuNYiY6zRpGlZ2edE8m8efYYfGDwqGBsaHDAaG/rCgy9nhW84p9jxNUG7UDJJFiNhY8ZRx3mrC4aNnohhwSMmzHwJ34hvOIoDm4BpFmibRTA2zE+mSiFtEdAW1qkVYuSK19NT349RNwg0+kiNEWdguteOYcA/9rClLyVVdqnWqNp2PDR+69QZPGzAcCxgzOjQvIji0zjQSRlTxJYLSlCzfHvdcuqsvOCdV5YUPjZbOmTMEwOHPYRhgYEYFhwQPHDo6JARjw59JPRZadnCzEN4Wa2cdiCM1EuBXkrpCcroaepu5uBhtUc5aYrSQFPClEJGAW2KoC0RtFNANRPU1SjauRjUqja+F7qk5KFn+Bg2CntgwcLsD2J22FmegcF4ML+uRUQ5pMCcsGXPmLHjMQwLmfDCE8Ks8I2fKGG3NioYlwJYCY13n93PAE8L+29PXzUSYqQaOrXmpx7ISDvYExgJnYoFUKI3K0GNquij8JXqYdNwbPLC6at/J4N4ZpdQZgltxGm9GEDPaijmk00KsjEaOKW0Q0jWybJ/M312KDZsMob9YtgredGMUUqZWamwR5678Bqn9HJKJ6f0UigUIwUbvU2QU3oFaZRrLDjliGBci7RNYdub8CpjDHlmYWxGUMhQLGAYNmHuGMEmXvklIWOLpGwiAN2MZaBRStrktC4anHtlSe7QYcODgoYMmTjzCUkpr7yWT7tCK6BgrqD0Mk2DjDJIfQyK1f6qs3IYeQ2VCuEw8o5Z7y5u4CfkqXytBf333XcttZ//be4TnWDkS1Xf4Op6oqJeWml0F/zgMLJ/SpFSyoIKiZliNLqkzV8W5hwrTdqblPOxXFsromtxTa2UQq6tbf1a4as6DiN75FnWUxvxDHs6wEj4hIIYKadqV1Z2x6mVVSNlpNe5D74a7qmd57bTxRbgMLJTjGQsBEzBr1eSDVHqBjllJLR2QZVBWFUtJT+VbXybH5U2eeIvggNDBg55YOKC5JfzTyxQ1/OqTELGJAMwpJCFIjS+ZF35zUhHgukZ5ZRRRdbLSQPUQ0irjLIpSIeSdKo0LhXpgsqkulZRfmx2fMnIKU8HDQkehmEPYNiQgCBs8GOjZ60itp0XUSYBZSdIU5S6XnEnGNnBuyJ0C7AKgCscNPPA1xHU1zC0DDSKtA4R0EXTdUlM9fINu558AR8+/OGBAQGDMWwIFoiFTAx4RBKef0q586843dQGI2OoU8pN2mnzFw0dFDhgwNBJT74yS7FZXnZJSjtxuhmHqYnYAnqtYNKDkbo1FZe35R+mVr6Rvo7FSEOkxijR2gm6Ezzzgz2wHgn0szcqqoyLq67Ic3/z1MzwBx+EZBgy+tnnl2mJyksyLXqJsK16KXVxtfbckoLfzcJXPPH8zKEjH8A8/wIxbIBnHgscMXTSgicicsNyDstpJ9SgQIMUNBBAJ6GgGAvdYqEfI3vLu733RhLKjAP4JiJaY4pVw6mMNIpocyRti6CdQtKl0jhXkrrEspPShMpHnloQPHwihg3Cxry8IOf9mJ0wYJJVICWkRUyiHLPAlLDlnblzZg4bFIgFDxry+KynoreIy8/JqqwyrV1GmyGVQU0MPQDQ1CPc+WlPqTsrjImvtYfS9p7FSAKmk3GIgUtE2xV0fWzlSXGKZsoMATZkNPbIC7yCvXKUukkCjDjQ47ROzJiEjE1Au0R0k5SyRwNDrLZOUvrh7EjFkw8NC8SCMeyBB+dnxzIwqhCphXeeV5ntTZMMFu3QySgdHOjAdwcGKalTUPVKqk5GGuBLGaY5ouqrUMa1UKOTaD5fXnlgdoRwcBAWFIBhw8aGPKcK33oe/1UzD4VeSygXQTUTpEteZYvZflmeTU599pkHhwQPGjB00OMRM7I/ETCOCJj5yaygGuQkxEiP6RFSchjJ1Y28i6R3VzfdFiMvn/3rnMmdY6SYxcgKo6wS1Y3kMLKfY2Qs6cbIzYl7E3M/IbbXCZhanLwi84ORECDZ4SynRnZx9N87q7HDhg6mJviIpHWKO8BIGAXmHlOxIxMOI29vbHnnpwGHkZ1iJA0xkgAGJdkQQzbIKb0IGERV9WLt57yCt2bEpE2ZPmdQMOSI8VPmzE2oWlB6MUxjFgKrBLB5MqA3ow9DIpJEsUwSYJRTOgVZT0CXThhxh9MWgoaMISct0ZRBsfl0eOprsxfnTZi9ABsUhGHYyABsDCQDDAt4cOAvVXL1l0LKFEnacY1Jqa7rvhrZsV6BQu9MAmANp5080BRJNfPBVwIY9GwRVn4ZV3Fy1eY9syKXDhg0Kjh4yABsYDAGR+hY8CjswQXh+SeVO/8PB82oSLoJh9KWGVbGA9WKiiOytcWTH38Ew7ARg0dMeiZyUfxvZMUXFGqHHDg9jnm3wkikRgqRU+vtYiR7XFLKKKfqY8gLMSUHZkQsGzVqzKDBDwSMfHL8vISITR+rqmDNDKLctIwyJlScVaW/OosXM+6RR0eMHBwYhIWMGDv2yXkTngkb9/TcCb+cNeHpF0aMGx8wYAA2YNSgsS9MkW4jNFYCKqsNUlBPAD0OCceCuwu3dAcjcWAWQydMkwphZKzarILRgDYRMiVpidtyKTr1XVxROv1FeXDIeCxgEIYNxMbOeCV7b9ROmwg4oYM0qgWCU1YhsItp85Kyj5Qrs6ZOfQoyTMjwYS/i01N2hpadFVfpRbRBRBoJGpUP8Z4h7jRIvY2RML8RcKI6OvoY9Vki41fT5gld4t0AACAASURBVMsGD38Iw4KDno6QbTsipeoIygjfawKDBOgFlJGvtUZobfwqqwjUCEo+4aW/OkuWMnHCmAmDsMAADMNGjV6YE8PANzg9iJHoSWmGz0VIkvVyqlZO1SioK0qqWglqcGCIZFyR2qvCqqs4MIs2n1q4ZueiZTkTnnoyOAALDsKwwGBsUnho6WeSXzVHwFK0TlTeoxEnm4jtV+U7LdHlB3mL1/zyySeGQQV53JQlO4RkgxBYcWBSUDoFVEENHtPL4W5wGMlh5F1lvbu48TvBSDnCSA4q7nyAeK+2wKqRcR6M3MJhZL99I9DpKYSqJXMY2c87l8PIzjBSQbu9UpWkPlqjk1MNQqpGzFwMLXnv6ej0Ub98YdDwEVCLChj2TMRqSfGRCLVOCBwETB5lRfRoZJMu+jrxs6n8CY9qIQS2cLqZx7j4jFXAmMS0XkZdWUx+HpoExk2PHP7I5OARwzFIkVgIho3AMDgGxkYEPKWSqr/kk2Ye6RBrTAp1nUytu12nVvb9UGdub1ABMwuAOQJY+DAe0iGhG3HSLq6oEZccEa/TzghXDBk1Bu5TwBAMGw0pMgDDgkZio14JXX9cseNvOPiKIGHdQhyGbhqllEFM2eWMI5k8MnNBRACS8oYOGz3+aWJ29A5F8ZVo2g51Qo+K61Um26uRGWkHYtQN3cNIqLNBf2NDNFm9svIEkaQe/sCkICwQGzFl+Kzkl9a8LdFUq3Y0KZivlWpHAjAt2fjelJmy4SPHDB4QFBSIBT/4wIRZitA1f+TnfhievZuX84Y4VztTvmzsL54MHjgACxg0aLIsrPCyjHbKIEY2ELQBB0b0XGTrf3YfIwmUoyxKY45WW1UkzIUDXaOpelXRMd5S6sWZSyaPnTFi8CMYNhL1RQg2YeacrF2qnTYhLEjjZM8QMWkSAquYsUm3nV+2+YNQxepRox+C/rkjxo2YpXg8Xjtv6xl+lVnEwLchbQ26Ot91jPS+uWR3GEdMhZNG+bbz4ozXpy2MHT5qHIYFBAx+dFxYjlLzJYFYnaB0MgDzTglIi7DKLqhqCFefmrv+zaeiMsY+P2/kmAlDgrEhgax2PGbUopxorR5GD8LYxR5QI1npHmcrOkLX1loVdUlBXZZS1QSoxel6AWOJ0DrFjD0K6OQFHy1cvGXCNN6ox54MHj4ECwwKGBCEYUEBkyMXFp0RMvZIYBcCNq7SIaKcIu1VQZVLylyJKT8QJo6bNGokhg0cF5Yp2npWpG6QwGhMyI0+xmHk/2v56J2/P89h5F0kvbu66XYYeaZLauS2elmFkcPITsfuvS1WdGNnfDDyQmHOsS1Je5NyP5FV1QmhGlnjX42EySa4aNh+0Lk+58OdYiSbqRVl1HcnHeScWn2at5dOBg4jO8RIGWNR0u78iiroRmiQUw1izaW4X1+ek759yOQXsEGDENSFYAETphBFSuqigDaIoYBplpH+s1F7UvlDWQlGWlLmSLpxkfZPodqrgh2Nkp1WeVWtouKYbMObz/HisMGjWGqE00Do9galSPjHCOzpaEJ9iU9ZwkmXSGNRqOtvFyNv+qy3RwXPEhGwiRkXHNRq9GKNLkZrimPMyoqaiOyDL8WUPTqNN2jYiEA4nA8KwEYEYGODsMGBWAAGwyPnLsw9odjxNwn4mtDYCNKCw3wtMHBLTF1VaP++bnv1fFEchjAyJAALHDpp1BRlaPoHi7fbpCins2+Il5QyCGmzJzaymnVqvTOMtEhghltDLHkxueITfHE+klEHDpsinhT32sLSL3CgI6pcEuYrJXAsUV/GV9PDxjwexGqtAVjIM3OeXUbLNBa59iuCsUno2tid5/G8qhciJQOHoS4aPe/F1ONitUVONUg0dRJKD9UnYBWh5JySO3BqJQDSt6H3jp2g7BJgidI2LCFPzSQyJ05+8cGhY4dggwOgJDwInjEBA7AJM1/JhBgpAI0iqPTC24pYY4QJDLT2SHVDzPYGSfavps6ch7RkDBszZeDs5S/lHhTvdOLbG3FggYIk1FHdhmJQ7y5G3jwzPSG7YuAUAZcKGJeWn5mNZ4x8EPbFACx41GORM+P3yNVsymKDDLoQ23BNk1jjUu6wC8uOPb+q5KE5vMETHwscNCgQtgi6egICMOyhEaGZ0do6pEvDTDZ3eOf17DPKqQOsBDDIyZoo6pKEvMIj6wU7HWHbbcId0Dc1Tn1Blvb6zLDlYyc+FTRwKBYUCOXRgMFYYAg8v34hXFR8TsjY+TBtkh3lerWIKLNA6+DRVoHWErezQbGmfMazz2HBIwZODJud/AZRcZnQwOBbpK77kiSnRnIYeVdB7+5uvC1GVnfJqVW6rV7OYWQ/Fze8sZFIjTxfmHOUxUg5xMg6XFPLYeQdPrD6zNe7j5EwgRZpk5F2KQmd+FDyHrMEihCcU2sv0aP3LOIw0j9GSrQmKWNV0jCVsEJtjdLYozQwj4VSW7PsV59NX5qPDRwZwHIFNhTDJk3Ci1VVtUKtQcgYJQBGRsmhz6QXJo3oT5jCEZIkaUZVPRwSyhVJN4ZWNfOqGsVVVoL6UrBpz/SY3CnzJWMefSIoAKmQrHwSgAUEQEESg9LkCOypGBlVEwHsoVSTUGOTVTTI1LeRYsetQ7KRbx5obK07Qb1OBBxCullE2yRUXTS4uEJzVrnx/QXL6V8sWDV80qzA4GEhSCMNwkKCsOGB2MiB2ICBcA/HYCFzFmafkG//PzH1NaGxE6TVi5ESqlkB/rqarl4kTYKulBgGWXzAcGzI01MXkyptvQyKYCYYWgYMKMBMz2Ik351i58q2/CPUyjfuCCMRzskp/WLy4uryD3hECmrVkQ/NTHgu/WhohU5Mm0Ral5BpklBGedmni1ZsGjR6NARm2PzBQXPiXsw5JABXBcxf+KApgjRLq+rlpfsWxq4LGT4KNcC8KQkHwrfWS8kGibqOIPUS2iIENiGAZR66h5EEio2E2TVRMlIpbSJAg7D8rKhg96L4glEPPzY4KHigW6xmpesg6NQ6fvb8jN0II10sRiJl2CShrWLGGkpZ8Fedim0fzySWDRgxHO75oAewR+Y9u+o1ATALaLsYWCQejBQjkmQxsrVc7HY/7pEUO63OTHR+ErRVDJwS2rVyu3FJwf7HngkfEBAyAF56wx95MSl8/WU5+SeCROUWaQOqf9MUS9tVW0/PiNs4fOoz2OBB7LsY9MYH9XNgEIaNGhW6Loa5IoUxqw5PgZbu33whRsL2sd5UI8kaJbgiAPpFjIP36leLKEN46Wdh696eJ897ZtqCB0c8dDOkFrb7kKDgERCNHxOGlZ4XaZ2RboyE4bs4pRfDtF5GAeOQa+1xm/64kC8JHDEOCxozbkEqseUcXlmPQ+Q2IzXypizJObVyauTdRb27uXUOI72jtJ/hjEeNbEja/EVhzpEtSe8m5R6WVTUI6XpcUwcDv9tmaoUVrTk1sr+dKneEkWxtPFhHGmEkjhQIDiN7/xzgMNIPRsqqDLgbI1FRGo1DRTYpNQ4FZYjZUUOU7pm0KBoLGcbKU0gjHDuZ2BSzUyeosqFSH16MdNMjy5DuKSzyASt8SMlGCdXMpx28KqMAXIkoPjw3mZrKjx089tEBQ4cNCg5C0AjHmJAg0VgYDT2DYQbOp2JlZG0EcCyimgUam6yyQdpljPQoJ+38FVvxJMRIMWUXU3YprY9mzi+u+FC8tuLZRVEPPvJMyPBxgUEDQzBsMOLAACwoIGBAQADEmCFwdx/EBs6dn3VcWvU3EcRIhwcjoVOriHIS9NWV5Jf8xfkhA4YPQlvAAoKxQQ8P4yXztp6UV9kJ2iIFehltYNOcSgFUI/m0RUka1lTU3DlG4gjn5JR+ieZC/KZ3ps+WIKXqgbEvr5lbeIlHOwRaO1/rEjAuCdCLSz6ZsyQ3eLQnrU7woAGhq2ds+jScuRqp/YZPNfM1dgVjitlyGF9VOmQUDPjEHpg7NuYP84ovy0idlITZySFGQpK0QjCD/rS3bRIKxkaKaIuIsRB0g0LzhaTwvUWJFdN4UQ9MfDwwCPbFgMGDgh6cMGD4eOT+PAy6to6bNy9jb9ROuwAKejA2kiDNEo1JAswQI2knb8dXSuo8L6FkzKO/gHGtAcHYsMfHC3LnlZyLJI04bcNRoC8OC6VCw2GuHfadX6vg1R5JsePnzKQsBKRZuwRYV4ALgoSyYQ8+NoDVFbGxj4WXRmx1Spm/yignREHGIaPNCs0V6Yb3FsVtGP/Es4HB8E1MSBAWPHRo8APjsCHD2OBdDBv50MLVi+nLcspw5xjpRV+UQglGU8tgTp0aOajma62hO78Oq6hfmL53lqpo/NR5w0ZNGB4ycCCGDQ3EQgYOHjZqXMjQUVjgwCCYQmsw9pg4tORLkbYRObVaxcBIwEy/OoLSS4BJDJqkVPNyzUlhfPrA8RNhb/2CF5Z7QFhRJ4Q1Zu0KGHHNYqTenS221UXd6pLnCn5wmVrvJgbe6bY5jOzGY+K++Uo7jNyDMFInpBtaY6RZDl+fscZh5G2PK+71CXPHGElBZyKIkXBwYpbAksucGtnbpwGHkf4xUgwx0oLUSLuMdMnIZpnGJSMbounPFqSoH3hqbtDAocFuN7kQDBs1RbYxdqdBoG0SME4J9DxEUiR8YdbKFKRRQRqVpEkJBUmnhGoS0iY+fUGw9cPZ8Vsnzo4YMn4MhjY7AMNCAgMDgkPcClNQQEAgmxR0AMzY+lSc1I2RTXzSJq2sZzHyljcF95CXHVy2VyN9lhCw8qFVASzRTE2U+nDo6rJJs0IHoySlyMcW7kwImxoE/R0QhHkwciQW8vL8rGMS7V8QRtqRUysbG6nnA6ugyhlLXRAlVg5/8MlhQUNQPGUANuRB7AX+tLS3JMAqZRwoT4nBI0gaUCtZlKT+DjDSHZwppYw4gJlp5JR+OflF9Dpm4sTnYCMPmPRY2EZ+hZFfdTVC64pkGoXAIaPqBfn7Z0VlBI0ejYAeCqcjBLmvbPksjHbwmatC0ilW26KBWVVwSJ5UOeLBJ+FqI2cPF1fN3nCOUDcoaIsMwRgkQBqSmBcj2b7wTn36zlt3/uYMoggj8oy1KOkaecnBeYs3PjUrYtSDD7HumkMGDx/+xPRHeSunzo0KChiH0vqOxR5aOCfjPdVOuxA4xDDlj0Xqg5FhdFN41Z+VoEGe8+YzL0UMH4BeXAQOGvAc/lzq2wKqTsI4oHyK9pnFSESS7M26hzHSC2O+qjgB7BLajgOLlKyV5u96MXJx8OBhKLxxMDbg6cmqX/OZb0R0k5wyEJQD5nPS1Ak37XsqcvnEKc8MDYHHM2TA4BEPTZw0g/e8JGHQxF8gx9YQDBs+fv7qZfRlhQcj2Vom3r7o4gwKw2AfWqinSLMUviEyKMg6FaiRQYw0h213zs98f0ZE6qTJz4cEh8AKMTAIMnDQ0DEPPTZrRsSKSdNexkICsYBADBuKPUaEFl8UaZsgRsKzRU8AvQwW89ArYBHar2Sar+O31+BZmoeeeRaeaSMmPbtEE7n1ywi1U0TaZDA8EgIka6joCEJHj3vwzbJd8KWACWeMODCrSENm+an0xMp9bxxEY/+ffmq5/lPLNVRp4QYqjeE79cLXnXLCHX/fW1mQ3dWW6y0t11p++ldLyw8tLS3/5mIj77iB7+kGOIz0eSL0zrjQ+7jx83PdSzDe7UNojZGHtyTtRhipb42RnuysKCSSUyO73dr37ovdwUgpyhCBqmfbUL1otxop4TDy9vWJHul6DiM7wMgqiJEqYJOTDhnZJCGbJaQziq5drD78rDApZPjEkKAQt1oYOCR47AsvrKBljI6v/UrANEoAvB3LoOs2W8gITlHFSDijJM2o9J8Zhbc5xbROTH8mLHzrkQWKkJEPILUEKo8B2OCQBx4ZP2X66Ecmw/FiMMyBgn7RjZEEWceDamQTn7QijIQpdjo3j9oDy04gNwD2FY4VOuMhZ0t2lImTMHQQBoyRNhWwxtJXpKUHHuOtDIYyV6t/gUOGjxwLuRcLgGkmB8GBMBzbYiGzF2QeE9N/FlFfodhIM65BHqpAx6ctkTucSuayOPO3Dz8dPmTQ2AA0tMcGDcEe/uUo0SZemU6qbWLzuMhpM6pboBcBo5A2obqR3VQjCUgaUNiRUnoc1oV3qCj98opTofJ1gwYOwwKHD31U8Mv/n733gK7iOve+R703EEj0Xm1jOgKBUDtt6ukqGDCm2BgXik1vAknnzMyemSNh3zhxcp16U2wnjo1j47gbYwwIldP7kURxcpP7fu/91vre5CYO33r2SEIUO47j5Oa9gTVLjI5m5syevWdm/57yf8zttBgm2y5plbhOTpAoZBEu6LZ/ZyH1QFohjlaFoNaSIqpJK3Rq5bBBitFCmHGG6pDffuBVyxaUVzQVLkDO3QUVB5Ztf5UT3EY5zKAwgCvkRmKMxN002BfX6ykN9h1kHoLu6I1SQwwAj5vCRTjqUAe563ulC7icggkq0ucUTRp/j3YWu1u798dVDQfTk0YSRB5BlBAjVpY9/oL5RESHIhTGSE51SKIAKQdrpLiu/ardFa47eHKFduPootEDvVs8Zwx3SOc4S8pRyNDDGZIqRuImfPUYef1q3Og9I1HYIIY51FMvvF+x9lDx5Lm4VCdBpI5JmczOuP/ftG1XtILfKF5kxTDpSFDHzlRsa88smZmaDtKnqURO0dhFE8vWVW9xNR75QcGUhbiB6QSRM3blQ2uk85zoocQIBXGtUINn2HK9X66j13UYU+8gtRqQzygETILfjIt5mqGqp9fi7DGJnQw6r1e6yfbuBfcJI8cuzExNBzVWfAZJORPyZ1D3kAfWHvzJQr2dSAc3MPjyJ9AYI7E3UvIPYqSHEzxmFDaJfSb+UqPi0+/+9pwqPXj/k9OKljdW7nlFywcpsHr4cFyrKtmqVsW8oSHDr/MdjBwC4j/d8u+/FaDufDlcgTsYOfhG+DOv9S+72a0p7mBp5SDLOgA1lq7n8MNkgMZuny/7XX9xE4Zh5AcHdp5s2vR9jJEeveSm+K7BoNY7GPkXX9i/Ww9+sS/6khhpFOC1O5QbqUrs3MHIL3bNv/oxcwcjPwMjsTfSikIcH+JQQi/EtE7/fW3n6vd/a/TMcoJIS8UVFWBOmDV+in77qt0va3mPVk7oUQTPO0O0EGWECBhLhAgtRCkxSorwiVEIW/iQlQ9yQhh4Brkt7R3Gph+OXclmlkzNHzd31LQVeZNXjbyLm1izuWrtnqV6K3wLltjBGAlV74hZ9bQ4hJEBztnJOrsZ4fO8+djBgisBwisBps64jgIoeRig4kiUVD8Rw5QQgnUUY8QYJ4btUrf5+BuTDTtyp1QUTl1aBMvyoukVI2ZUTlxivqecVP2lKcnJWQQBpQiIPCJ98arHX8MY2ccIAUbwUTw4VVjUrZWCNW1xWuo0Hn5xAbU1LR9HgQInpxAZxcQMy4p9Z2hccp0TgiYxZBR8nAgF5TFG9jzU+iVzI2nkoVA3jbpYqOIYZIWIufW8efe/TZ5bBqecOX5C1cGlD79q4EOU0kspCUBEMdQodei2Pj3x3qqMzLQBjc+UqfmUSElBWo4wCHqT40M2MbBJPLPuiWdyiybA0dLGZE63Ldv8fXtbiJEAhAwoohOvY+QNnjfVA4wRBTLFcWyGAfn1oMrjJyETEko4sqKbg9qAXhMfaJS6qd0vFi9eVzitasTU5Tnjl06r2LpqwzOafafW/ou3Zu2RNBzICdHFRSuWP/a8+UREK4E3khMDak0tCkGQrUaKauS4RQmvaT1jWHt83PhZcPLQFyNzyzbQjo9IJa5DERUjaVwSWi8FDAM2v6/MG3nD1bgRI2udQZ0YtgrnNzpeXqJtTE7DCkZEKpE7e1TN3rIn36TbL5GSn0MdHB9gHDFTy7nax5/Nmri8eMqi0dNXjJ1rnkMeL3vwhQbH2S3i26OmrcDNSyGI3NLyhxolyI0kwU8bUfVah/1UU/ZvYLBhPBmixBB0jQRlbIxC2CSEzXzQMrCEzLyfg/HWQbvOW058OH/t8dwpZQXjZ44cP7No/F0jp64Yv+KReQ3f0u15e8tTnWXGB5JSCJwHnU2Mp1bt/xAuuxzWw3X2MMiNLSBeDkoBJSzOfqsQZo68ubr+4cIRgJ7Jo+cuuN9FObtNbQmjFMZxEBgjBejrm9yqqvKtCpN3MPIORv4jA+sdjPxbTgr9qnD6oPqAe3AFJNwYUc3xVhXFg6DlJsIE5q/PIf/iLRrEyK5NR98/sOvlpk3fwxjp1Useiu8G1oVQr+v5kOCKvJMb+eccCV/8+v+9tvySGAkGU4yRqlIrh00euBL4naDWr54S/+xguIORt8dISvFxctCCwiwfZFG0lg9Wtlxs4N8g79+XXzw1PRni5bCcTDIxevHKbd+tbDpfIwR0csSAYAJKilG92GcQe0kxoRf7teKVWgSLTrxECX0cHzfxUBROB04qv0nusQqvVz0mlt9/rHpjW+3DP6rYdrJyz1uG429tkk5W27bC3DeZSB2Q2EkFPJjVgDEyvFqMawU/57z4+Rg56IXw0chHw1shTopxPYrqUEwLS1yLElrUq0cJA8J/Ent1qF+PeikxYkJeO7qg2f2zlQ99q3Lbc1WPfGf1Iz9a/ehPax5/2bT7FWr9Eay3CnqtgxiZS6QvXLn9F5R81SD2qXUjad4ziJGhaqVXj9ymljdqN7dklEIUKOR+QmhmHjGqYsGjr+hbPSYhZBIiZjFigtIpXj3ya8Eb2bO19UsotQZY0KfxGKRuSuphQLknaBYDpiNvVq47njOiGC5v7tSZDd+ubfIY+DCNYpwco8QoK4TuV7qq1wu5xdOyktSI4mQiZW4O5aKlKIeinACpsxycZ/DB9o4HDn4rq2A0ps1MInPefHtbXXuYVeIGFNPBpQ7rsEMSpxdiPrkRmUgxaBBDeimskcI1UrhahqVWAtFOEoVY0W0SL5oFt4UP1Alea/OZmh3PVz/y7ZpHv7fqoe/rnvylsbnHIkfXfSNWvXZ/mtolRB5RuKwcY6RGgtqk7E0YKYdqxAArhRqELtv2b06dq1IWROXmzW8w8x+TroROikIULkQ4gytVxUgKwUDC5Viu//xyEjuDI/OGtL0BcEWBGkdQJ0brHB+s3/vMPYsrMARCbxHFZXMan6JaLlqfuswpIVbs4niv0RmyOTotR9+o3PIM+9hz3I4XqJ2n9Ae7dC3ROiG4seXdMdNW4iMkEUTeqPKtDVIHK/pwRcroMICE+h/glryxd4b/qurWGpDXIHkNYHbpp4VLjNDPCH2s0MtAznOUlIJ6qZuRz1rkt7X7v7Nyq1Cx+XjNxpbaLe01W7+v2XNa3xxhUKJO7lphejA1SZUBAoxcue8DypUwyGED8jMYI7EFxEvBJCludfab+V6b4LFvl8aNw/m66SMm1m6r3vemUQozQojmfSaE9b3gxrl9aRn1mt/JjbyDkXcw8s/OkP7HbaA6IUGnAGJzwK7axYLGdTc2sAYoMUKKMC2hIM1MdUtGVLvzV1IY6QtezwGMFLs2HX3vwK6XmjZ9BzBS8esl7wBG8j6I9lLpcejnnYIf/5eR5F+LkUNKrfBSuxPU+t/U+3cw8jYYaXR5aIyRJinECjDB1YjeWv58/fEXVlJrcvOKs1LTMwdm6plE6crqPb9Y3eKvESM45M9HiwEditWifg3q06HeWnSlCv26Uvr3SunXNeiqTuynxAQtRPUoXCtBrCMjeDnhjF15t07+2Oz0GMUrFPrfWvnX1InIg187u9ryMMx9McYMBrWOxBh5sQaFVqOYVvBxzg7W2YW9kZ89cYRpsYqRIVqMkWJMjyDWUYeiWgSCsVqU0CHgXkqM49Pu16C4hveSgtsseaySxyZ5LchvkiKc3M/KV63Kr9cpCdtjXydSMFAnJUEqGpxrDpGBMVIawkgvxbsZoZsRuzUoXC3165CPbXmL2t6WMW4mBIpiHVoiKYfInz/FrpDHztpRwCqGsaxRmBEDWilYCxI7PQ+3nmvd/epfqNQK5hkK+XTITckBSgyYpODaNr/14AvzDfenQ4orQeTOmHn/C1pnVC9EaRQzSlFGiHJCZHObu6qhtaBwYiHWE4IwyZS5uaSLlaImMapawhghahTDG9surDv4zcyCInw4giAm3m3kbW0hrr2PknsB16WITgrhhLdBH9eNoEKioB6FNVKkWo6ulqMVCiyVcrRWUiNL3Zx40Si4TXzIxEM+W53is6Ae1tFtU6ImMWFCl6wnrjQ+FahZtzttwOKQTRQuXYkxslaK6G/FSClQi/y0HLaLnjUHfjJ7sRZTFkEQhUX3Nlr5j6m2XsBIETASX0OMkRBs+dVg5Of4IVVs0whRg5RoaH3TsvnArJmzB5WLC4iSqoWbvse2ui1SghVDtOBmeDfn9JidPTZHVyPv2eiKPdB+1SZepcTfkNJvGpXE+sNvjJmyfLCB+cUrH66XL7Kin4R74S/DSBp5QXsJ9RiQB2wx4hWd+Cud+IlOvKpD/VqUADevFNKCmu55i/gu43yDU941yh8YxbNWyWsUIgbhSg3/a43Qx7ScKzdtxeVZcFDreLJi32kanOFhEmLjwRtJIw+J646axLjNCXGtVjG0fv+/Tp48DpqTXjB6Ud2qR39qEoKUM0LzAbOEBaIhVfL2T4PBapx3ciMHMOqWmNYhwPxH5qz/4ed2xxv5BYnrMzb7rETHIYyE4CAWdbLo4uDSTYlhvdinRyGD1E0iN4XDGXAGOGZOSAyBAIfP+Mav8nMVI+vEzk1H3z2w66dNm/4VY2RQL/kwRvpYHke0DgKkGmijTmfViJu/w0n+g32F2uNfZS/87Rv412NkiMUB2BArhKcldyR2/va9dvMYw+l7gUolWtYWM4sdh4++/M4O1HHP/D+My7hWQsAylrg2mrhWSnw4a3zkp7+49sdr//uP1/7zj3/6/R9+py6/+8Pv/s8ff/e7P/z+g9BSpgAAIABJREFU93/4r9/94fdD67//w3/97RbiCx76//uv3//u0z/816ef/vFPf/p0cLLw6aeffvonoMc/XPvDp9duj5EMDmo1SQEGAgs9etlNyR/XHf7urAUrU1PTU5IglQmAIaOQGFuhPfBGjTOsEaNQjAEEFQM6FNYqvaQSp+UoKffqlcta5YpWuWJQ+mg5yshBRvIbFL9G9pNSgEMBWuhhFA8pRytbe1c7f1vO/2cZ/6tKKXT/iTMV1m0wWcRggDEynSAAIxmhowYFV6MoYCQ/gJHD8hlu6GlcVyeoWmtoeBOEIR9SAh8d1LhTAqwSYuWwUYmapbBNDnFyhHTFSFdIw3cahG4GDJNBDpew14sJrXSlVvoVJf/WKvVZdj5LZKSAMyUFCuDBGSapGPkaNYiRNO+m+B7ASKFbI4aqpV6d6DU63jHtfiZ5NCQTJqtKtElZRPqk3LJNNU++tMbls6GAiQ9xoBYbrJFCNXJQxUjHl8TIgA75DRKEFptE3zr5PPWoMn7+8mQV+7Jn37XxZ7WOsFaIkFKMA4yMm4T41nZ/bYOjMG/8iIF43SQieWaRQTRJIZMY4SBoOcSIUSMKbWrvWI8xEqNOEkFMnm3iLe0h2hU3oPh1jFTTI28ESNW7RQp+iJV1hQyukLYtpGmDn4a2MK2EjEqQUzwU6qTVAhVCmBOhGqfB4dW3+DgxTjnirNBncfU1tvXUrn1iOEaWP/a86UQE5Gch4vF6UKsBBbQYIykpYkf+9U0/n7uMHKSsooJ711hUjESAkdwgRhqgDMxXg5Gf5Ycc7vfTSb2k0r/G8UaN9YFRxXnYXAGUS4zVLHv4BaMzYAF3d4QSPDQu0ckJXs4RZI+HrfwVq/jvHP8bnfDvlPKb9Sd6NzadGjNlGW5gEii1lm+rlzqhQJkInucv6o3EdTVYsYcTL3KQkNlNCX5SSlDKZVK5bFD69K6YzhXWuoJaJWCQgyapxyZ+TPFna8WOWsmjlcM6OaET+2v4T6qcv6p1RNnmMxXmbWqoLhhhMEYySoIEYaHhGOknxZBJjFudCSPfZ+IDa/c/N2XaZGhOSk7WhKqFa/+VbvaQzjjNR3BwF2hBfw5Gsvile0diR0WxwTfD9f//hyPa/w3N+3IYyeC6kSaHz8wHoLLc4BNvcGo1BFdfyZz7rznaF9n3pm1u/fWGt/xntFHda2jLmzDyIos6WHSBg5+dFITM9OslPymdI6UuAwoxoBHYYRHft4lvm8Tz6nNy8IuGjvnFV25qwmfuOAwj3zmw68WmTd/atOskpwT1kp/ieyDy5XYYyWHJVlWHYlD/bOgbP/O7vlhzho5z0/X8rMPetP3wX2+7y/ANblq/7fZDH9608edlNn2xlg4deWjlpq8Y+vzzV4b2+pzN/mqMhJrPECo1iJFeXI3sc77x8/80dM7qyudvfNu/Dh3h8/86tNltV77IvrfdZviHtz2y+uHwzT5nfegIf2YbE1aBqVSiy9uidzDyO+v3nbLy54wuj4qRRgl7scRuHeqg+fe4XSdyR08anGqroo95xITVzJG39EJYL0BWJM5qCxhkP6N46daz2n2v1ex5tWbvG5V7f1m595fVe1+r3fty9d6Xqvb/vKb5PZ3Swyg+E2QjhPQoUY0ulzuvLOd/tQL9qly+VNsWfOCp06ts1zESTzczACNnN7DChVoUWI3CWsE75I38XIxUJTf9gCJ8N8tfoJre0ex9Sb/vRfrgz5mDrzAHX2UP/sJ88FXr4V/o95/UHnvb5LrISp2U6GagdGSEEmMkZFGGddh7SSmXzXLEvPtr4IJMwUsS/E8k5RMZS1Ztf42WrpBiL8V7KWc3xXczQhcjdGmBCRN65LUI79sPfIsYCQJCoFIJZRkziJTipHHly7c8s+6E24K8HLiCw3oUqpHDNXLILLgfbj33ZTEyiCs3Jkix1yT03Od8q3Lt7owh/dWsOUu3vULLCY0Y1aMYC4mRvSaxd+uJYKW1OT1lZD6WrIGuT5pSom+1yQGTGGaFMLaERUwouKX9wgYIah2J6xOmEMTkyayDawuQGCP1CHy/Big0gmtm3IiRJMQ2h0zIZ0Mdxpb3DEdPaQ+/WnvopObgSd2Bk+SBV7mmtxj+rF7qhrBYKU6KUN2BFoKkw2cUIyYxSreGTELMqkQblYvDMDJXDWo1nojUyDdgpJroqJOCWrAmxOxScMPxV+4qu46RefPvM/PnqLZePYoyYsCIMRJqwHzlGHnjpRjOkPB1rktU2+X6llcXVJHpWMMJ4p+JEcREauWOVy1SvK7t16wYp0B9t9sgXIAVPko1x1jHJSN/lROuUOgqI19ulLwPOn5ZOnUpvnlTCKJgVPkj9VI3Iwb/Im/kgPKT2Gnmz9ocp63H3qEOvq45+Lrm0CnNoddrD/+i+vCrVUdPVTW/p+M7GOSziG4738mK3hoxWI3CWjmug8Ef14mXDNIVgzNgbH6vwrwVm4eueyNZJUFJYRr5ISsSeWgoFhqE8HIxbnHGOD5hlUIbj/1w6qyZeLBlEOmzJmqaySOdpDNB8XGWD4JVHmS9PufpD7bbOxh5ByP/YYnyr8BIj8nhs6gYKcAtcFOG8NCvX3ZW/ZnH/IIHHDqB4Su37qv+FZt9B5owfF396/C9hh9taH34Bnj9OkYyqJtBnQy6yKAO/LOTgoiYhEFy09JHBqlHh6IM6rGg9xrFn90n/sgqvoenAdFbjnnDFf78vw6d2PCVW3cZxMiLm46+fWDXC02bhzAygHUW/DdjpBDg8GLEPU4LAVq44az+Gifq8FNV12894aFPbt34tp8MbT98Rd3y83v51u2HHR+A6ou3dNiOn7nX0DbDr+fwc7jt+tBeQyu3bob/dANGPn78wyd3vbL74Z9s3vm6pamDQVGN1AvzMcyKcCPjsFUsBDWQG8li5ScKsnmDoFYASVtfEqSHTvXWlVtP/raffP6Ot/71sz75Ege/aZfPOvLwz2/a5dZf/+zGQxtwQoAVAhVKbFlb3ChePHz05bfBG3nvHW+kj5EDnBzQI181f1Hj/IhtPUU/widlFQxh5MCUtKTc0vw+jWIkFPAI6FBAIwU4V4+Ff7fsfnHcsjVjFtnGLq4rXdxQurhxzCLbmMWW0mXWkvI1k+qaVx9/h5N7zIKHFaJ68XKNeKVCvLQK9a2UY6uUkKbN/cBT76+yPYLpBRx9WbCWDhI7s+s5wEj/ahTSCW6j8/xQUKv6MB2aQaq6O4PWmiAjBWjUQ/Mfs0dfW7WxbWr1ponLrVOWW6ausE5bbp++vH76Usv0ZZZxZfXjtI/q9r9kErsYYLkYjRKUGMMKrj5a9FGij5HDFsVjetIF8qwpqs6OKjRbjOtGvk5Jl/RijOI91zFS7NSgQJUUN0g+m3i6/uBzxAjwRg5gZHI6RtDJKza13/eU2yRBbgYlfVUYCWUbdZD5mbAIPQ+gt6rXbId8U/Vf1tyKnaesX7taI8V0gJFxWujjxL4HT4SWc4eTk4ryBryRBJE0dazeaZeDgJGwhBhIHw1ubr+w4cA3swtH4SOmEsTkCXQL6fKT7b0GOWEAR24EKyrdnARIo4AeRfQo0qB0W/c/P599YkblhgnLLOMWc+MWsuMXcBMWmCYvv3/e+n+pdoKokkaM64UYhcKMGGR4P8cHLGKYbQ2Y+LBVidTfgJF5RGFZ+WPPG5+6GSPhwkKiY1AnhWg5bpNCDzSfvPs6Ro7Im792CCPZGzFy4GH9V+dG4mSG21yN4SRJui7T7VetR386bcGyZAKkgDFGjiQmUCt3vWZVEnbXJ4wQpQQvJXaRwgVSdFNCmHZEGGeUcUYpZ5gUE5CCKHRvanm9dJrqjQSt4+Lyx+rkHhqygCB5lRJB72qYT/L2uZEM9hCa0cUGdKbu4Ev6Da7F3BOTVq8Zt5QeV0aOLaPGlpnGVG6aYWtdvv0FztlRJ3bX8xdZwa+REhoUM0D8bYDhfaQzZBAipLPH1PzLVebN6QPDcMAbiTEygqtgeSiIaPVTKEyLMcBIPswJUbsrsg39fNqcudiLn0IQo0cv32F1uFl0ieJ7WT5kFIJG0Yet8p9Jkncwcih09boXcnDtHxau/nlO7Itj5L6Nzyxq++0C5Qrp7GJaurgW93VvpAoVkOocolEY3+aqvFwEC8bAA5wdjP1WZ0W3TqeGPoHZEphmghBIj6CoMn6qq1LPYQa/DsA3MrDZ7W89ePYKWMMGDQjdUWKYRiGcODA0A4avAB2vYV+BsxYjpBgxQPoiKOThZEU1cB3EVBloo7qXuk2UEiMMLBD4N9jMQYyEmrQeCrkp1EOhbnUhQdctjNXjz+skvwYlGNRtR2+sRd+/X3zWLv4Sa+3Ehy6IejXUWCesfw6PUHgxDTNg0YIfp5rffP3V84ftceL9jccM4Ieep168uKlpOEZCVggFOgvXMZIbEtcRgkYBpPVpAcvaDVwltXcg3X3wCty+X246gcFfVZXa0PCRQ90gY3vz0XAv3DDSVDHwwZ/qi0bttQHXELwKhSDuKThbctiZw3dhG+7g+QyNQGgOvLDwKMKjAiKt8FX9zFyG4QehBXV3LPSIBw8eukMjEJeYxttA29H1Uac2f2iGOfyY6joeAGEowTWwqKMiBKNisGj2wIxU9IFWhdRjFC+uc3z82O0xMo4nWtCoIYwcVGoNsxBMFDeIoD2hV7UnBjr6C12EoZPHYxicJer1HDpzPCuAQw3e+zd397Aj4AIHoGwP9+bQjtgrDpQOk+eBv6obDHS02t3DniRDtyp8F34o4UEIGhk398ItQxq6D2wo13U0h3phaGVgqnPLvjc1DbS18HW47b1z/b4wDHZ0udK3uK2fFbsPNp18ewe6cPe8/xqb9s8e1MrIQVYOaSV/pdCldXxkanmd2eYkoEr48H/JxOgV1ubTjBgnhRgNWXyhWjlgbTun3/702Htr07JHpqQVpKQVJKcXJqUXJqXlJ6fnExkFRN7olLuoseuf1vMdJt7L8lGK79fzfTohUYui1VKgUvHp27s3PvX+Kutj8H04XhRnHqZBUN/sela4oEH+ShTUCz0m5znO2akSI3ZEBHBIGx6CgzY5MHGBUzFAoy6j9GHt9m/MWNWQPnJycmZBWkZeRkZeVkZ+dkZBampOSmoOkVlEjJwxnTmkP3KBcsZJyOfsp8Q4C49pj1n0mIQes+yrUzotu5Sk7GS1jkEyyA4lEcQYImPlyu2vk3K/ToxQvIfme+AFL3Qy4kUNClRKcb3ks6Mz9gPfvgEjIbkyl0gZt3LzUw0nvIwcNKAQBRKjIQ0Izwx4I790bqRe8upQhBRjVrF7s/S2Zs1OzK+4N7PmVuw6ZX3mahVgZNwo9VJCHyX2bngquLy+JadgctYAwycRxMxSrWSTIiZINVTj8iMmMbilvWPDgW9lF6rlT9KJ7Lun20S9y6c/0atXeg0ohsvcD9RgBD8bZOX5cZhxAEscxe5XPjZuPF5UOjsvrzg1LTc1JSslOSslOTspOYdILSpYsmnerrdqUEzDx/R8lJEi2DPmZXmvRQywrX6jM2yRo3VKV83aJ9OSVP0nwMgVn4GRGF+DWilEyXGbfDNG5n82Rg4W+b0urqNq7fylEjtfBCP1yiWm/YrtyIvT5y1OUTESuqsYvJG7XrUqMZuiVpTxMGI3LVykhR5a8DN8gOX9NO8z8D6QR0bxOqF7Y8trJQMYmU4QxcXl2+2ymxbDegTuQRI/+j8HIynBj4V/AqzoMUsX7pM+MGxU7rrXOGrsnOTcEUmp6cnp6WnpGSnpOcn5kzKnGopX71m567UGuaeOP88KHp0UN6AIK/hMvNvs6KEdPj3vNzg7jC2nVpk33eKN7KWkKEgxwSTPiz3YEVqMm8SYBSs8W12hh9ErU+fcnYwNOASRU7p8S51wkZX6KT7B8uFBjPQNveRuWsF2hDveyAEoG4TH6///89DaP2xLvxxGsoCRHqPDBxGt2D2F5a/DJIoaICQkrhd78ZIwQBRDjBajGP/wJHUY/Nx0v6jpAPiAQRYrl+JUBdCl06FevageDbS1hqa8Nx1hiKxorINqEGMG2BEvoGwHASbXp4wwM4OzVQUL9OqW+Lu0qFdd9CgO0fiCWn49DFLwKIbl3OJ4gz4t6teLfRAQNNDSyKDdM0CLfgrUxUAPXA92TL9e8uklL7a0RrVSQCt5aqWIRuqjkMeC3qtHP2tEP7KANxK+aFjTAHdxjkzEALKCkGeukgw9qBuPr39k2PVPDF1/HAkClagw6N4w78dvGXe90DEMI1/llLBeCt6AkYMeSJMQNPFhEx81CgmDkIAEdXyhBnsnRmLqHuqFYU0YmKzf+skgDkVJMWYQYeTooL8SBkAXgHM11+OmHSmQvldH2kBL9WJCB1KLeEFxPdiU1b72q3SBqSNKigkSdzTWOwShCr3YC9+lmoxxpS78XTACGbzAiQ2OCg2k5ffDuwz+dMPFvOkM1V+hK2HAwPkYcD0waC/uNfUqgcY+3kYvxrVSrwb1akA+A7anwGKifsV17FQPC28WvBeJcPPh9QpKHDh5BOY/DJAk6FBSWLGCQh5agiSRtc7PwsgEK0bwXCvAQPYj1KQxCT4TzEUhaswADe+tlWIaKaKFix9Wi9N8Vl8Pvxpqe3FYbBhfzMTwuxJfmah6PdW02+H73rSO7+swvgd78VWCHfE2GO0g7ilMgs164PmjG7iRYayqd7Q6VkGpAZqgRuoG8cXEIxAldLgX8DMHnhh4EKodAQMJtxcMEzSYn2JY3XPwCQMjcOB74RmIvRpDz73BhsC+g9aBIB4e0IPYBQIWq2GDSlVvjlCg0wnPKHVsl7muzm+/SiPv/qbX3tohX7jn3jsY6aPlICNHNFJotejWtn5saX6D2yYSqfkDfrcBBwJgpO34aVZIUKDQGNRK4Vo50OA6vWrNk/kl4zOTYUKfiRMp1cDPNBVCk5OJCUuTtIcrWi/SfIjlo5wzanTAT4qP6sWoVg7Sbe7NT52usD6u7pExIGBzHSNrb4eRnIBLVmLCGaqDhx+I2BYi+mmpw6K8V7HZUTR5AZEC5fXUeo+52OGWM6BASxDpWUVlG6sOXNQ5L+vFq3oRIlRZIWrmAzYhYHP66qTgGrnbvvNESkYWvibJaaCuo2Jk+SBGRodjJH0dI/129BHGyGnXvZFJGQRRQCRNXrH5GfuJIKlEtChKgcRLSI/COimE60aea/kyuZE+CrkNUjdkfaCQTezehN6tXbNnqK1E1uzVO1+zfO3KasDIhFnqN4j9GrG37oS/9rFnp8yrTMdeYDxpnz2yVrFAgqX6aAsxoNQafrD94v37ns1RSy+mZuVNq1285Vmt4tW0QQlKA4ozeL5CoyANVTqDaj6kipHgqpLim+TTlvt2jMjOHZEMNR/zcBHOHNw7aURSzlzLxA0v1vIxVupnURxM18jDiV0msdsiethWr2kAI7tr1g5J7ABGLn/see523kiMkSGdFFYxcmPLL+Ytp9SRRhAjMEaeV4Nab/JG/n0xsp89cbW+6eVZ81ekYJLHt90oYhK1ctcrViVkdyVYcMm6OaGbE7pY3s3yPg4WPy34SSFAohiDovVC16bWU6XTcHEXGO8lxeU77ZIHYyQ8CkkUxR6/IYekWnkF1/nE2svYoB5kpCAreozihXr+ndXmgxNHz09NTkvCaltZYN0hCggiMymTyLyHmHrf7I0/4VC3WbxAiz16iGcGcywHmcweSvDrBL+e7zC2vLHK/OBgzicotVbs+5BVerH1xI8xcrg3MmrlA5wQsrqCW9ErU+bcM4iRqWNWrLMLZxgpSvIxjo98PkaqluA7Sq13vJH/sAz5ZetGdrOt3cZWn9HhVzFyYIKIIFVBB5PgPh3q16FLeOk3IJim0/Akh2xzDtxZA/Pv285BIdIH5uhRrHPep0WXNNJljXRZK13SS5ewsRVIEs/Phkz7A/lFQweE6SYkOPTq0GUtuqqVruqkK3rUR8G8UPV6RUmUIPGpauBULxsGF7zLZa10WYsu61E/BVLqMVUwzyAm9KhPD1PqS7CBdAUf+aoBXdGjS3oEjYWNMQNAPV4EquA6yJmPaqUoyL/JIa3cWytfqZb7a5RorRLTSXGoNox8WM21g8G1sobNJlXHLIAlBieY5urhzKEhtIintuAYCVNgREsADOMzVM9Hj/pI1EuiOAX1llSb7NBFA9BlkLtBuLCp6a3BoNZXOSUyhJGcmhuJjQW4cm/IBM+9OAOw11cr99fI/bVSv0bq10r9+KxgWn87nyT0+FDvqFNq9Qk56NKJ4e7u1aFLWjxycCvit5DkwMghUVQngdD90DDT4XMY/KRPJyVIBKiAQzGhuBpmuT6dOLCLBp+2RrqkhX7vpcDECX5mfOVVbo8wuASLART1L2ukS7XSpRrpikYGjTf8yguzSJVYC7IwpIcvA4WgoNekXr3Up5OwmVuKDHkjVSZhwBUZBXOJ1FcrX6qRL1XL/bVyn1bdHls9BtNQr3cczhOJQHdLfRh4+vSoF492IB/wdcMUKARth1kQKI9Qcg+LhmHk1ueHBbWCkfdWjDQDRoZh1g2KUP1aqU8jJbRSTAd6hBEKX96bvLgDjbqdqYgRAngM9+qh16AX9ADkfdjEDOOZRmEWtAauN3MQva5/Ao0CW1WvFl3WSv1qL+NLqmJzyABPoT6tdEUzsFyulS5pBpbLtfhJooP7NEFJYDvAwQgRTH29WrFPi7eslW7cEqQrggxYhQL4poORTAkREvUZBloBNz4gq9SrVcehBO0i8YxUhfPBLGLsGAA7AjjGwcQg9eFL0WvAsyMGj0CMEthtK8ZJ9YEj4QcpSmCM/IRG/gNNb7y1w3X+7nm/H5P6z+6NpJUQDRgZXi34dK0dtuZ3uIddROoIYIkBhsSFOEaX2ZrfY3EJDUoM6VBEiwJrlNPWHfLke8pSktNTklJTk1KSQEcGfmLPHZ4ST64e2fBMlRAghTjnjFidQXtryNYaNTp6aeESKcU5xbP1xHvVFlzwA09V8XTzOkaCN1IMaQUP6+xgnN20AIMJZ6+FSOwBHxYdEYZZMmRYeRjpot31Ifvk1ycv0hDpuUm48nkaJiq1igkWnUkickZM5w7rWoJa4YpOvKJHlzFGxiB4UohanWG7FG2Q3LadzyRnFGJMhnLoOQAiI4iMpaug4MdlvRCneC+W2OlmhM5BjEwY5ECddLb+wHeIkYMYCTU/cgiihEieU7b525anYgYoWhijpBgDkYcQ2vplMRLCeGjUQ0qdJPLQot8m9mxAH1Xd10Qk45IJUPxzRvWOk/Z/uVwNtsZeiwRGxyoU49o9xmM/W8ben56WPKidM7WoSuT4CAMvyxgD9uC4SYhskM5aH5UzC0bCBcgqmlixuWr3S3rZWwsWsigJyZZgJKMENcsUrDvq/U+LAY0Ur5ViG5QPrRsPlJRMyEvPyBjsjnTo96QUIrdoyYb5u97R8jGj1MtBvqIXdPbEDk68aEZuptU75I2sWrsHhhqcBxT8WP7452GkXo5RctwqBx5oeXXeCnoYRl7Pjfy7YqSaK4+VbCBEXO5nTnxib3p16ryKpOveyJHEJMPKJ142K36rEuV4n5F3G/kevHiMvM/o9Bv5AMMHSSFEogiDQvVC15bmN8dMLccNzCaIMaNW7KqXvNhCEQPj3M3eSPw4hiAZiCQhcXQHzHVApshnknrWKOe4h762aIElv2gikZKRgq0MOTD+kzNTSnJG106oaS7b8wGWtO2kUA+JvAYxgKuDhCghoBOCWsFvcF40N79ZYXp4ECOziPGGyr2nOSVOYaVWGoYrKD9jA3/EBNrFIMFvxhg5dfY8HKYAge6jytdZxNO0HCKFCMvDhFh1Dg+9OwetldAudZJ0p27kHYz8H4aRIL7S2mNs9ZmdIXBWiGEWyt6Cv4uWwqwUNEkes9xtVrxGJcjIYUqOUHKURhEWhYwoYBL8JmyEwkWq/Df9pKBqVMAAeexhSoqwctgsh6xKwKr4za6QuS3OKb00lF+GKTKjQhS+17DxKGDkA0Y+aIR7cyDsk5NCZlfU4kqYlAQn97JyLwVMBQstJ2i5l5PjZhS1SmG7FLJJIbscqpMDdbK/TvbVyX6LHDLKUVaO0wB7CUqK0yjBSQmTFLPKYbsrbHcFLW1hU1uUbYtTSq9B7tehvgFnGthnQ4wUNMoBk+I3KV6ry2tv81tdMbPrkqktbm4P2No89S6vVQ6zQr9B+JVW/HeD2AvvHdGrmsOMAhSZpHBkDYWwSp8rzChhWonQEljcaBQiRXgiMXKCk+NGOWKVQzbZZ5e9NtlnlQMWJWySowx2qOLnkupUgXg5ElxV7nrAyDcP7Hoe50Zex0iY+A5gpB+SwFW/Gcyeowao6OuztAfsJ3w2l8fq8phdfqMSYqFyVZSWogxWLB96DOKgngGX2uA5+NXuw16dEJar9XBCj1X22BW/TQ6a5AhM9KUoqfpReT8r+BjBB+G7OCfTKIetrohVCcL2is/uwgusB21KwKYEjXKYlqIUyBzEtXxMB16dCIWCRtlnkT022WNTfBYlaFSinByHgSHFSTlGS1FWDHFqDBRAS4CWfEbZY1U8dYq33uVraAvYXGGTK84qcdgYyp6rRlUfK6iN8nPYHwiXVwyyUsQEPR41yWGjBJik+pCxlzWE64eDvZtV/OY2v7Xdb2mDoc65YjTU1ga+xZXABo48hOIMCnJykJO9RqnbLPeYZS8nB0gpYpB79YD08HbDbklVkNJHyW4VIyE3cufJ3Vtf2LzzFM6NDGskEJUYpJ0AAxM5eCEOsrHfKHrNyG1FPXbZbVc8FsVnUsIMXLSoUQJ38W09xsMgEBsRoNeCrBwxKWGL7LXKbrvcbZfdNtlnliNGpY9WEjqYCfgZGPxQLFodP4NgDzDJ4ABjVopwUtioxExKwqwkjFIEh7jjqHIpzMpRTokbXXGTK25VwnVKoE4J2GHxw1A8eASHAAAgAElEQVRxBS1K2OiKsW29lBzTCmEtH8Pk2auVE6wStUpBGwrY5JBJiTByjFQSehks4AxUJg+CcAZMVGKUEGGkMCcHjJLHAq3oqVM8dpfH3uazwj3utyp+kxzipJgRRYwoyEFzvLTohZhhGCchsHNJEVYKWCWvFR6bEfyoibBSBMwZKAhIKYUZOWKRgvXIu0bsbkRdhjZf5YlgvdR5/Ngb7+966vxdC38/Nv0ORgZpOayVIlVi0ODssTefqdvx7LipC0EJJjkZ52iBTiJRspQ6/LpOCOjAqgTJDLQQaJQuPOB8vWYjP6f6/hmrG6eU2yYvt04us01dbpuxwjZ7VcOcygdmWZzL9r5jEEKMM2J2hOoc/vrWoL01YnT0UcJlgxQ3Kd2PnXhNb7lPndyrMjR4Lj2CmF1vFM7rxEC1ENEIQYPTDU4/0N4MVcqRChSsELw1QpBSejnXZQrc2VEdCukkn0Hq5qSuBvnCOufr7KPS3Jq1kxdR05ey05ay05ewM5dy0xYzUxYzU5aaplRtWvnoDxkhREoJsEYACEVZqJQYNIthEx82yxGb7DbuepbILMaQm5SGTw5+ZM5ftf0kI10h+QTt9NFON+3oYUFip1OHwlVSPyWFGqWz5l1fTx7KjUxKIZJHECnTMidxFTteNp3oI+UEKUYYeIhAdKsOBTBGQt1IYe03Hn34BbuzWy94oSSJjIMlPsNWhO95Hw2FE7oY5GXFgE3yr2/rNjz+jYIpS4l0DFzZU1Zt/YkNRWlnLysmTDKE2lejINvebXGe1G3enZE/qKZJjMkrO1BzuJNu/5Ve/sQg9pPoEidG65rfqr3/YEoBTp0dMX26XdIf/4hFPj0MjCAJ5jccsM6HGSEGRofWAAUCOWAs1KNoLQrXt3Vyu5+7i3xoRmXd5BWcukxazk1eYZq4Ys2cNW0aR49eDFN8EIwFopcSuynxIi12QqV7h5d1hixyuF7pXL1unwqR4F0uWrr8sZ/cNjeShilRRC/FKTlqQj3rj780r5wd8LQTI/PmN6pKrXoEIUzDJXYGvJF/i9xIzJAq5DAQmxHAdtzL9KFf3FNdl52TkzZwfgXEuJqyHT/jJJ9JijBOn4n3mngv5/SYeJ+J95swRrI85CCRKMBIvka++6HjH4ydXIlvpRyCGDtm+RNrYDCE9GBBVHMVBtheVTgwtHpIIULJlwyol5R6NQ6YD3FQLzRkkoN1Lt96xxnztu/MJ5+YuKJh0jLT5KXstGWm6Uvt01c8stByQrP7PZIP0XKYgoHXAwVCACMjcEwhTAphkg+wjk77sTcrTQ8NBrVmEuN1VXvfM8pRWoLJKISggyQvWOth6oaCnBCA2BjBu+HYj6fPuhuak5qVXHL3ROMho3SekoIkdqeoYx5eup+1gKC0947EjspR14NZB9f+kfnqn+TcvlBQa0ny6Zn37N/09UVtv13ouooxstvY4rXwYbMQNUoJTulj5Rgres3Oj6l9PyvfyM+zPjab236X7dhda9uX7vyppuWsQXBTotskuS3Ibea7Od7N8AMMSWM8YAUvI3gNKFAjh6qUkMbl1zrP1ux5sXyDtNSye5Flz/y6pnnrT5Q/+Yqm+SNa9hrbQpB4jGfqmCrDJj5U5wjaHRGrI2Z1hhpln93xbtUj31jU2HK3qWl+4wly/zucw0+iPlruZUAyPWg4fn7x/d9ZalUWm1sXmY4tNB9ZYj9aZjuwwrJnlXXPSuu++Xbngs0/IB2d8GaRQkYZzKPmo+9rt31/AXd0kXnfQuuTd9v3zWw4Nnvjv6w69FYN761BvTXg5ISwKc5x0dry4aqHvj3HfGye5ehCe8tiO7/UisqscpnNWWZvKrMdLbO3Lm78urmpi27pJflfU2KCFd14Gh00Cx6b86IJdZOym0YdnPP0yh0/nLO2be6mb1U1vcfKHhYF9GKEbLvEtfVblJDV2UHtPblinWuRcf8y894l5n33Wo7eVScvf+gF4/EeixRiZa/6dqbAagxRYDrJaxcubDp6HSNZOaR6I+HtAHEZASMUS4OK8zhZJlgle/Vyx32u9+lHT6xu2Ftmenyxaee91sMzzcLcdf9Wsfec5cQnnJyAuEo5DNG8MCPyMDhIkhH9euQzIC8F2n5+bLDzG2SvWbnQiN42bP/aYssTyy17lpgPzWRbZm/6YcWxjmoBfIlq6AcruMHeJwTpo2eWP/DNhXbHYvuRJdb9Zfb9y6x7l1n2LbXsX2I5tMR8dJHFce+65+Y9+qae76XRJxpn3CAFLW1ddvFN0/7vVKw7sty8e4X5wCLz4busjrlrv7NyzwUSHKEJrQBa+kYUYAU3J3UZlXN1rlN1zc9ptxxbbXmy1rKj2rpzka119rrvVh3rMsD0KQgVwgQ35+xhQcwcUmFpxWdQgno5ZHZ517V1Untemd/w9EwaLX/0FSOARJDl/RY+aERRzpUwtfnr2s6tQ6fq9j5bs+7IKvuhBZbmmbYTs7f8vPx4QC/3UVCeACtuSFCAmgEnoadR6a5zvqfZ+c0Fjfvvte2e33B0Ont0isk166HXlx+JaPh+GkXMStCigIAcJMHCaLm4zvnx9uMf7t55cs/WF7YARl5gpKAGpDGCQxWq8awgqEdxDeolZY9Jfq+BP0k//vQy857lxj1LzIfvtjhn1n9jzuaXqw+ds0sBoxRilCgrhzjkMyKfSfSbRFXAHNyzFB/QOby0GDTLYZviua+tY53whv7RtmX2nUtM25aYdy00HZ5nf3ru2hcW7vu4oj1eJXspUDPuMiCPAfkNOHaAgUCGMAd5NAGj4Kvjz1gO/mzF/c/ebfnWggd+qjnayWH4N4u+BtS9Bp2taz5VvuWZedaWMktTpflQheXgCuvhFeY9FdY9K+qPLKgX7t34ncW7363hgxoUq3VEaSHBtMXYE55G/j3T1m9UW45WmA7fa2mZVn9i7uMnV6OQVuqnhD4DFBv3alCvXvjEJIUblTOa3c8tXHdkUcO+RdY9S81Plln3LLPtX2Q7uNBy6F5L09yGZ+Zsell33G1TohyIL3hwHewAI0cZYMgApXTbW09ZHv/a8nppJn3ingd+amj1sq4YKQUoyctJPWZX55oTFx5Cb655uJ207qsxPTHftndG3cElxkON+r3f1j/ac+/qP04sBIwc889a8INWfLQSpOWQDnIdQ7Tgr2vpeODgj2qYtRk5RURyyqA/MpkYvahyz/NayYdHfIgRghY+UC/66sVuY/NH+iPv1h5+q+rwm9WH36w59FbtoTd1B98kD71FHXqXbvqYBTGAgMURsDsC9Q5/nSNodYQYZxxqN0lRk6tzx4mXWLMJz33VmhjJOPK0mJhtNwvnSMFfy8e0fFTnDBh4P4n81XJ4VVt8pRxYJXbpJI/1qWj90/1mJUErMa0Sqpa9GqmHEdx1vPc+4dxa4S3TkZPU/pPc0bfZI++wh981Hn6XO/Iuc+QdtukDruVjpvUiK3g5sMH41ERhCJ4WfGDQEgJGJWRVutgnvkZk5avKJ6kDGJlEZNxV8djLrHSV5HsZp49xemhHDyd0s0KXTozUSJcZKbwGfcQ+1p5SBEULMJOnE8klRM6iMbWHag9+wLp6aQR+SGxMgvwNrRSwiu6tjgvNT5503vfMow+/UMf3GESfVvB9PkZCHgjCmdyi24ig2JRZCtW3+7nDL03TrCPy1VKXE5Zs+LbxmNviiJnEKKcESSmoE3wM6rA4XzM+wedMKE1JxuVMiPy0mffd9cCLhrbf6Nr+H530a1q5apVDzJ4fLSDXE1lYBalk6ayHXzbwAavgZ6Hwpk8veEnkBSsaqGhGTGLMjGIWKWZGESNEzIc1YoBWfDrnR6sPv1F99I2qo69XHT1VefRU1ZHXq4+eqjzyRlXTaYPoNYh+qAsCjzAvKXoMYo9BdNPIp3d4KSFgVoINysWK9fsHpYOyiaLFKx77kfkElKNU60YOJm2Dtg1kbEtxWg5zQseao8/fs9KIo3aTCGJEzoJ6s/AR0wbxDH83jFQtfIMhRmDw06G+GqHfcPiXlWv3jBw/Hu4BuPFyiNKKJdt/Sks+MI85/WYhYBYCnNNr5P1DC6RHQkKjl0Pu+/iercc/Gju5Bt9KeQQxfsKyJ9eJXk4IYQXdyA1ZkZDKH9K1+BiUMCpXGKnf1H5ZL4RIIQg2OTFMOvysGLK7omberTl0uvbwB4ZjZ3RH3jcc/dBw9GzNwbP6Yz0sH4ZQHIgD8YHgqgiTDAh4E6IQdMpHTXzI4uhsPP7LStPmwadJJjFOW7X3baMcBiks1eYKRWUgcIVCXloCUQRSTBha/esPfn/mzNnQnMySjIV192z9Adfmo6UQKfpZCasx4yJaaimt2/68g5F3vJH/yER6K0b+evnUa6V4UlJKXCsmro0grpWmfDhr3v5NX1/c/h8LXZ/QfI+xtdvc6rXyYTMfM6Fek9JrQh7q0KmaB5+6V/dA4ZTZaUUjidwRKUUT00rnFq1YM6uBL9v5M8pxFryUUrdZ7DYKHpb3qySJMdIDZYQEr0H2V7X5K13dlfy787YoU2rXFU6ak104OqOgJL1oQlrJnOKVa2Y1tq7a93NWushIXhLBs0UHwlpxEx9pdIbrHXGbo7eB993neI/ahiYtqcopmZReMDZj1N0zavdodr9b0xw3iAmjBJLdtTt+nDfDmF00O6twckbBhIyC8ZlF47OLxuYUluQXleQVjUkfMSNr3vrKA7808N0mubtePE3u+O4Ky/7pC5jsvIkZ+SXpBaOSi0qIkRNSJi8dpXl0xv3fXHH4fI0Q1UlxVvTaWz6w7/nh2HuNyfmT0wonZBRNySiamVU4I6dgak7hpJzCCdmFE7OKZmdNYCy7TlqPXTQ61MoKgJGs6AeMFLus7W7adZ5sPqnZ/vSYFXUpo+9Jm6adVs8zrWeMcrhWiGhcvcb2EHfs7dqtz9xVvTG/9O6M/DHZBaWZBaVpheNTRswtmF23fO2/0offY8QODvWYsJyYRo5XyrFqOWAROjYfffPgruePbYG6kawc0okgsQNK46BJ4+cAaz2U5K0S3ZVKT63ygaHlR3V7pJl3lxWMKM3OK8rIL04rHE/kz0qdYJtInajce57kg5QcotvjWhTUyl6d3A1qtAJY3Goln1byUchn5oONzqBVcLPS2QbhFfseeU6FLrNgVHZBSWbBOCJnSupUS4nl6XlPvK9xhjgxakYBo9gFz20haNr7ysR7TBlF0zKLxmcWlmYXQXuhyfmlmQVjM/PHZxTMyZhYn137dG1rHyv/O+UMWqRz1mM/Zh9rWm4wF5VOyikoySkYm5E/LqVwcmpJzUjNiaW7zpYfdlc3B0xtCZPsZ/lzduUDu/giu/tQdQM9bfb0goLRI/NHFhaMzCiclFyim7zuu5VOn1b0G5HbjHqMzi5O7KZRt05yaxRvtSugdfkaXR9tE1+uMD+ZXryUyF401sDTzk7I5HL6ba0BC4qY28P1bWfW8T9es6NJo2OKR0/ILxqXnj+RKJyXOmN9Sd0Plh3qrnZEwE3nChpkkDViBW8Duvig/I5tV/vU5brMUePSikozRk0icscT+fekzXlorO2FpU9eMLR4rUrAjDoZsYeSghTycMMwci9g5OuWpnOM5NfIgPqs6GZFDwtv0iAtRqAmjXKJQ6fNTV+ntj45d1llduGY7PzSzPzxKQUziZHlqRMbJxgk/ZNvGgW/wRWnlLBR8pqRzyz6zWLQiMEPFIZQkJQC4LtWPOvk0+ubvs888MT0exdnjxiVmV+YWTAqI3982ojFKSW2PI0y49C5FXABz+mlTlDZkPy4SjxEoTMoyokhs+huED5ad/C5WuOG4gmrUworMyY+MH/ba8b2fkqM2MTujeJ7Dzb/W8MjR6YsqEwtmJRXML6gYFx+wdicwnE5+SX5hSW5I8ZnjJyTMdGUp5PLj3UblIS+1V8n+hrks+aWF6nNzXPmVBUXTcjPH5deMIkYOS9j2dbp215acdSnd14lXX3VsqdGvqIRflsndW4SvrvMWp81aWJm8diMwtLM/NHZBSXZhWMyCsamF4xLLZiYMqomdfbOxdvfgXguqOfnNiCfFqIpo1DmR+6wotfrtjevXlVTWLyAyF6eMXVr+ZMfkFJEA6nUbiM6Z0evbxB/sGVHU/WClWNHjCsqKM0sKk0pGpuZP2FqzqSHi6ZemLbk04lFgJGl/5QYybk8FMZIBqxfIa0MKeD1ju4tTS/Z799ZUDxu0GmDJ6XF95Q9/m2yzaeRoGyDUQjanYE6MWLCbgetGK1FsVoloVUSOhl80HoEulIUHzE6g3YMkDaHv84ZqHMG7HzQzIdIPqJFMb0cNSs9u9pfZk1m+JqkFFhACTUXF/ywmYSzlODV8RGDM0q1Bkjer+U9tShgeCpBtvv0zg+ZljetLW+Yj7/BHn+XEs5XCV2VyKdxgTPE6gjbhR6reM6IuiFwou0K4/qEcX3Cuq6wbVe59qumE7+yPvVrS1ufUfQbBS9eQPhxYMHSYWY52Ch3WJ+QiayBMFic2oivSfpdFY+9Qkmf6IVeGmMk5XCzApSO1IqhWqWfVYL1wmnTzqeTiqCACp5Gp0FEa1HF7IZnq4+cJyE6HG5O7Afz6aWADmPkQ63n/mKMxHUOGTUzG4HuAtTAlH300VcX1T2RWYzDULPHz1v3rKGpg3UGWRRi5SCHIkxrgGnpsIun7ceem7KqKicnIw/qkqQRI1aMrjpe1RTSyb8xyL8yyrF650dVa4+PmbYwSQ19HaeZf+C8jo/WQZSUh3S6DYKHkvyM4GEc3Uxzh/bQGc7psbUnWAi5jGIZNFC7qZbDVXK0WknUuK4vtW0JjSuiB67w4bqRqlKuF8sk+EnRR0l+De/WiR7O5WtwnV+9do+qeASBlkXzyx/7N8uJMH46RFRCwzwDGIlV4CJGOWwWLtYf+NGcMgYPsCQiqSBjoc3If8i6ekksqKBGhqhlQv523sihqBgccwKBRnrINLjEtX7A7ZBKZ2FqSlYxcuWCx18kJR+rRBk+aBFDGCN9QwxphIRJrLUj+syiZy3f9dDx90unVODRmUsQEyYv3bMBxvZwjFS9f6CohpOI+ixSr8URYI9fZFsukK0XdK0XORn0JLTNXohek+JaMIsmDK5P6Kd+S7b/hjrxW+rEb7XyFa2oXrcQNr742IFIsCArRE18zOqMWp0xqzNscXTWNf+y3LKJSFbD5DOJMZqKfb9klQAjw14mAWTNWSEIj3jZrQfRqRjFX7E6+7Yc/OHs6RAQTmRPzF+9bfHuN5i2KMTpIT8rAzzfFh2Hf0j9xd7IP16DKrtD8PXfziB/wufzBygAjM/qj7D2p/+8du33165d+3//49rL3/vNvJJrdxVemj/urMXwaWf3/7l27X9du/Y7vMPwlgz6IK///9/etjsncHuMHHMbjDyw+RuL2/9jUdsnjOA2OXosDr9NiFr4iFUI1yGv6dBrKxqOjpmzOn/k2KSMtLTcnLz8LAhsIAgif3TWuCWjKx7V7HmF4zs5MEthnz/2LTAQo+hlBLdR9BlFHym5NfKFlUd+fteG5rxZ5RnFY5NT4HGfn5WWnZaSRCQl5Y/Kmjh/TO222n2vMHwPBbWjINuKFPtYOJ+wkU8YhUQjf16zWZy2TJMzMi89mchOIpKJ1Izi5XfX/Ssp/pqSrphFb33z2xVrjqeMmEOkZBBpGUR2blLuiKTckWk5IzOyijKyRqRlFxM5k1Luql+57xc6oatR+bjx4A/mVtQXjZ2ZlV2UkZycnZGem5OdkZNBZCYTmdnEyJkZ05kplrbaYx0aOBP3Buf71P0tRSUzBiYzqdlEeklyzvjknNLk7NEpOaOTs8ckZU/PnciYt79gP3bG7OxhIITVy4keE9QACxiUMHvCa3CcKn+w9a4ac8bIMWCFzBibNZut3Pkz21P9tVK4WuzWHTu1oO7g2Hm1+UXjkiGph8hMT8nIVDsghcgcVzRNN9d0vGbfaxb+gl3socVwjXxppXKpQomZxc4tR984tOvHt2Bk0ACRJj5S6jFI3QapRytc4KQz9c4flDfcN3txWU72SCItLyVnRFbByKzc/LSMQiJtVnopVbxs/6LHflGL/DolqpdCBslLyt2s2GMSQLtFI/n04OsL1ztjG1rC61rPNTT/nNpy6J7lFbnjxhA5uUR2TnpWTkZ2MZE+mxjDFdSIi3ad0aM+ToqahW6bK2J2+hqf+OHkCUvgTZqclZxZmJZXkp47OiNndFrO6JSc0tTs8Wm5dxMl9Wk131hxOEwLfXbh/H3Hf1xh23L3krLRJWMIIiMtfVRO/sTinNziNCI5aQQxiilafPCeDSd1x4Ks3MdKfqr13XrHj+hHn5xZPm/MlMK87MyM1FF56bl5WckpWVlE1qz0RQ/N3PqzGqebkQNG5DHxXUahi0Y9tXJgtRKpgnrUHescL27ZcaxsuQ6U/4mxGWV7Ko5+oJV6KD5gc0asotemnF3r+CGzYduSZeVTS8cmE8lZ6XmZGVlpGTlE9tykcdaRzDN3PXFutRDRysEaFKtqjXJO90b04UNHn1ulN2UUFBEpWUT2SCK3JDs3Lyc5LSlzZurUdSNr0bLtbxlFPweGdR8D3i3AyPWOj7cf+3DPzlf3PfTigztUjPRpZFB+YtEARrKgPRNlhEid4q8/9P1q65qpc+dm5+YSRCZc25yS9Nyx6VmTklNnpxTrx5Yf4lq7NUpUp4RZyW/CGGmB8ssRI4qQvJ9tC9LtnhrHR1blo7VN36sxrpkxc3Z+VlZ6SlZOTnFOTnF2zsiUtFFEyixijD2rXLh7zzt6V6dO9uphzhYEBgb6CpBKjHZFbOjMBsfz9Ru23jt5TF5KLihNZlbO3fISfeKKFsWt4oWHxFceOeS02elJ44pxdYLkjKzC9NxSIrM0I7s0J3tUclYpkTubGE0Tq1rKj3UzSsTsvLBZer9xzzNV1s0T567MzJqcnjkiNyc/AyRNUon8WZn3bBhT9/3lh6KGtk80UqAGXdHwVxsdr23ev3vh6jmpuURyRnJKdlFKdnFKVnFKzqjkvJLk/FIidyxRuIqY/shdD7/GiPjK8G5ODBqECOjJK8FG5Z3GvWKNtnpSUX4GZKpNIwq4Rdt+UeMIQnejgEU6V3f0W/p168oWLxyfk5uanEtkFBM5I5Jzc/LTUmYRxFqCeLew+NOxmcCQ/+wYKQUNUlgvQ2il3enZ1Pxq44MHi0px1W/8GoIfRbMXPfg0rbh1ELQWNIkhmzNgFcMmlKAhz7hXA3nJ/Rq5TyurGmt9etRnEOJGPmzjgzanD157zoCND1hwFq9eCGqliF6KWWT/rrZTjHkNfAtEjKbgvMosSD6cbTUKH1GC28CHGGfQ2OphnF6ShwoZVjnQiD62HnqhfM2hudr1MzXrp1OPzGhwzt32o5XNXRrXlZqWGNcaNUN1nS4K+XUoUYMuVYlXKsUrVeKlKvFSDVYO0KNLtBg3CiGTAHWcTUKQEyCvg4OckwgnhGwoeD86d9+OlswMoNtkrC8yBoe3Eml3r3r0ZYPyiVbopZw+ClAKvKC00IMxMkHLXrvwHrPdRYyYAHF5uIWgUVJSu+yRV2uOu3Xgo4twKIzTmgEj9XLQKrofagWJnb/MGzmAkT5O9BkFvxF8TWFWDnDH36zZ3Fo8Zhx8ec6E2Wu+Vt101iB6KKzQaxbjllaor1Dv8tqcr67auHfMpOmF2N2amj6xYGbDovU/ZJt77Irf2vSmcdu/LKmwFmQWYhzIJqZYlh3zaPmIHWJjoO16wWcQ/azQaWk9Te55cYLuwBSLtPr/Z+89oJu4Er3xK8uWLPfeC64Yd7Bx7+pl1OWGwYVmeu/VVZoqycak92x6LyQEEkICoRfbstVdwECS3c3ut99779t9u8n+zx1hkm3/917e7nl7zgvnHjGQIM+MRjP3d3/twCcC/ajUOC2BN0eoruQSsw3knXrybj1578FrA3mHC03tLhqNQAXO/IBiHhlhlZJWLjbGJ8blJkur6bKgbSeLZhXh/CA0p2rTc9ohB23/g7zi/fAAT1sjvJVbNaRDZxjT7XwhY7GQ/hgB8ArwKdIosHNy06wnl88DIz3/9u8JI2FusKc4GL7+JYwU4zDZTIdfWNH7dOoSuvURwkhfEFGSu+EFATYmJpxi/aQGt/81GAm5XwSzqfDJZeiN1QMfx6TCwg86xTZ+QcnudtiZ+0MYCXeGZkQdMnxaQcxq+q7Jt725tAlPEe1dtMxYuvMtGT6qNk9D5RLMqHBDUysOLfV88h6P/JJHfgVfidsC6D73pLQ9yLOFsxMFNqVB3U3QCO1Woy6FflQ9cKpc0+kFFyfo44rllh/4UGK2SKlxBT6qwUZV2BiCj4vIcR5l4RkdQmJGjn61TD+3aseTmcmeS3dBlGhv5eEvpKYpemXXipDWH8LFv7X9E4x8AIi/h4/zWz+huP/xM/BjYeS4ZtCmge04rkbMsgI9z1ven7ywlOENdSK+obEZ1fLiGm5aQgTb86gCbEZEUZ5aX7fnE4Ryi6kZuHyJ2uWop/AA6gjojBmrkropRz/Obd4flF0OmL60LsKL6R2cm7d0QUKKJ2cLeHkz4xYXtmD8Q+cRGGB4R4zPSWGQj0uMO0Qw/8O2DD2ZVaNgBYcwfWDYV4gn580rMVmINz3ye4X51zrc2rL/teKGVgYnEgRGBKUXxJdLM3jLMxo6cuq7Cus682s7s+tWpXA3pTXjtT2f8fHRDuJs+2Y8NjHLkz3O5ARl5JQurZZlFpYFxcXAWAYvFvCJ8V+kLVz5fG3PWJPJ3jF4ukyyOjgkDN54AGDFZEUUqFO569J43akNqzO4q7MaNmTWbF0s12v2fqjtu6hExxT0vVqFWdToTQHlqjLf5mOX6zc/lF6tCIqKYno0FQw/RvDispXPaI5/KYTq31MVa/XBGUu82QFseucYACzIyIlOyfT8XIaXN/AJ5FhSQ9EAACAASURBVCRX5zWTqiOfNA5eRTA7l7pTbbxTS02r8Rur/xaMhHGGkzxqlEeNCsmbauLKSvzj5rU7MlKifNgsBjPRK6Y8urQxl79sKVeRX1TNZkcBRjgIrggR9ubuPcvz2BoxixIfU+LjCgwiZBE5KYWGnZllg7Nr+m3rez7q2IrlLS4JDOAwohLCy5GkOlVuraywlOfHSQQgBcTqImSPFh2yiohbGsK2bHi2ER1btuXJpKh8AHwYodnRBfKFvDUL67uyajqy6jozalcurN6QVbc/SfJIYtfZugFn67Ct0/CmcuXWjEW5wQEhTK9g4FcQnd1cwNvCrZNUZUTFhvozWfGAnR9Relh2aExmmFZRFuXge9JNB3LKcjnBPkyWH9M3I2KBJre8sbien1lWFZCyBERVcqp2F+3+RGScQgiH2jCmwkZlxHgDdauS/Ep0zNk09HHnflSrkGYlJ9PRjfEgf0vR3lP12HUx7tTgs4345XbyjeU7DublZQX6B7AYgd5+qVlFSFm9KDMvw9s3BIAosKAtQPlsad8kl3DWGaa4g1Mt+M11hvc1Hduj4mIBg+0VVxZd2ZEiXF9Wwy9K8A/1YQNWHAjnRYpMtYdvykx3JeQUQkwi8GEHYeS23vN7t53Y3/0GDSMvIqTlPoyk2Ujao+GAjA56uVv/vm755oVJcSwfOtiRnRlZtCyjpn1JQ0tRUUNCRCoAC0CkTnToosg8JTC6pKRdTtqVcH7uVNJxylLMKqbGucSl+sFPlh37TNC+Iyku2tfHxxv4hUQtzanoyK1ctqRanZVf5hcYDbyzQaAmRDpc1neJB1s3ZpW4Q4uPyolxMWUVDdmlphvN6Cvq7o1FeanJbJi0B89qQEl29xvC4Xv15C0VeXkd8crm3TsUvJykUHrCC0KjCiWp3O7Emg2L6tYXNaxNr1qTULsjDqESVr1VPTAmJ8basA839D+CKHUpMfFMVjQIq4jMR5bUyrOyFob5MeENjJXmlbYmqvVDHnZPDGcjtwSYo73v6TUbdLm5gUw2iFqYk1LdktmwOou7ZiF3VTq3K53fmdTQFSfcH6d7vGTv5zICzoq1qFVLTCGoW250NA7fWD34NE9UnxIdHAAn5ywA0kGotHD1azV91irstoCa0eJXFOuPpKXHBHBY3iAYhBX75jdG17VlClR1paWSIPZaAM4Fen0X5/UTGwlt4hLSKTbCvFANPtmp/2jFViws/v4d0HMfBEFphR2EgrwhxifFmF1BOFWoTYU7tKZZlfkWYpqVGGdFJEyLEREwglWEu8WYWwy1apBCUaNWFQqF+CqoYbNKcasQ3h9dEmiUt20zfiJVdtLrhUzm/aRWb4jXsrRK/IIYHxOhVpnBotSPKvUTSr1dp7e39F1vP/xu0wZ9ekEFKzDMOyjcOyLZZ0G1f+22/C0f1QzeruubFQ+6YH4AMS6lbCJqWmC85cG6POoWz3iLR80KjDBPTIq7lZhLCf2QTnrDrcTgkGPTCsylJezt+KWV23ojfWCsKAfeV0CypxiDlV+z5T0hdZePz0jQSQlqERvGZNi4FLMICBePmpFSFh32cXXHIRAa54GRtEiYDRLF9fsuCgxOGkY652Gk9e8CI+GiMmZVEQ6laUZOORV9n0g2UPEJkA4F7NgMjbH20Oci0iKmbDJoN59So7d1xnsaalpluCDf/3xhnS6EHeAPGL4M/4DQ7KSC5rrlqGzLcW7r3opaVXbKwhA6SAmAGJDTWdEzKsAcWpqNlA6OinG4HqHCrrT0vN2w/DAzqsArujxZebRyzwcimIoEHdhSYkqAz/KJ2zzizg8Hn/ZFiAmHDLfIoDYSmhweDAgGSCsPswjwCaVxso28JGvd5oG78LhCF1ZtekY37PCEkd6HkR4MCUWtEzJyXEXZGw3jqo1PpWfX37+kmX4+RUq54axiHkY+yK+jkaQVLiJCnfOfjB9T+EGbIe+zo38OI6FtnY6qdzfhF1cbXs6p4sHdgxcKE4TkZHSM1A9e5WFObq9Fg9s1uF1hoFP+53WtNBsJQ6cQYlJH3Fw+cCoudTEL3hYZAIQnlO9oIybltLmFDrChASSEkTBOXYk7lAPX5Ft/ViHZGJlW4RWe5ZspSND0iQa/UA9Pw+Ic2FRpE+FOIeais+Cn51Pdp0X4lBiDOTrz5+d+OZgccymwaTXq1EITBZ2SbxhXDHxSre7wexDCnFBbfPhdwdCo1DiGEKMqbFSBj0qJMTFhERKTfKOTR7rl2O3mHmvLKjwlmp4CBqUvUPfX9V+TmqdklB3qt/8OMPLb7/74B5ri80zm/+z1fxxieHbgJzbyn+SD+Ifsxo+FkWPaQZsCh49sLX59Rc87BeXKADbHY0IJzqgR7H5JvXOknCtKio4Ipmu0mKyo0NzG3PanpYRTQM2JiGkEg5W8CE1FyokxhIRLM1rqiqb3teQymZcvDJKDJCI7zj9T2tB6pLRhWUhwyP0qMHZo8OLWou5XEfisv0331kJ/F5+yc42TIvJKB/Zyck4ujAKgE+nC7n/3I1MlpMz8ryLim1bK2br9sUXZRXDtODY/VbqpbtvTip6TysMf646caT3yqe7QJ+ojn8iOnBL2fszHbwoIy0rD6a7Vh2PD4Zos4EREFEj4XXjbnpdUqwx5JSKON4d2X3szwwrCavcW7fy86/HZpsNvpBYJ4bQZ3lADgpZo8jsfE/ae5feeEfaekfV9qjx8Rnvw06ajFxr7rqj6ryrRcTqCyK7BbSpikmecqjVPCw6eKJFtDIlZAOgVbvoks5gB+SWdz6ge+6VkaFR0+OlFAg2DzfGhJwY+PqFhicX81gOlqk2RSVksH0hOwl8+EVFLO3ibXlYPXEVwB4+cqoWiVrsGv7aq59TBHa/0rnly9c4TD0StCGRO7Hxqss44Wmsc41Njraabm9CPBTxZiGeKHlgdULZ7ycaXpQdfbzv8RNe2o9nZhb4cf8BOAomy4NZnuKhNjbt0mL0RnVBhkBaTQGOkVYpPKdDbzYPu1QPXdx59vlmnjQrw82ECVnrlki3P8Y++oT385PJNhxalZ/uxIoFvgVfSysgVH9Ua5hBytmVkrslwo2nj4xHhiwEIY2Q2F7Q/Kjx4WrT/A9net5H970j2vIPs+VC5/wveEWfVwFfakekNj51r39tfXL44LDiYCcIAs9A3b2/x6vckB8907nu4s721oSQ9NgiGTvgm6ZT7PkcGxhvxz5t7nyiVCgMCfSAIZ+aw0lZnaZ8THzyh7n9WtXsgj68CUYUgRRWle7QOnUaIWY1hUomOyYiJOvLrCuJfVGbLWvKZlpWtZXnREf4sOJ/0yWUs3l2y52ydflSIzaqI28vwU2v0pEwnCvXzgc9MZmbQonbh5mc2YE9rVq1IS03y82ID36Vg4fbcbee5Bgff4JRj1m7zxbUHn8gp4XoxWSA4P0RkWLr7jLDv81X7yFXqqsXxbPo6jGVkdmeuOcOjfiUg5hDCoiBHlTSM3P4ARm7/QNNzHoH8P81GQlfIBEL7jeX4+ErDu9sODjZUFAXBXAs/4JPPWLimaON70n1vd+x/bO2abfwlS4F3EgiSl209LTG6hZRbBMO0PO2sLjnuQmBTq11IjHPxqxLyQqv5k6wqhE7J8AeMrOiyffztp6S73mzd99iyDdsX5WVwfCOBVx5I7ghvf6MKdYpxtwJzalAbQrgkRicydEOJv6vbs6+0KiWcDReG7ocdhORmrX2Zf+xeNTUnpy6vI1/cvH2TpDwlzs8XgCDAXpLcMVLV+3nd4YvSQ+eaDp+V7fmQt+cj7sA1LuVogD7by12GZ9bv7K4qSITOK0YSyF6X0/nIit4XmlauX5qXHOTHBIxg4FvPWGws3++SeSaK5OjqvmNrOrhJMQzA9M6Tr+ceeFfU/5ls8DNp70nJobeQ3jf5h16pO/JhTf9lvmEUIa0wpxqdUeK35aizibi4inyjrXvdwsQADgN4e8RfIBUE8XNXPFvda6kxfiUy32kkrter1/rB42SDsCp2yfbMda+UHnpP1v/yrgPolqU5exjgejCtHPlJ1IqQdpi8T7rFMPbKuhw9u/rQUzFpxYDh5bEqwjsgJyGWt4V76BMR1C7C7lFP+7CCdMhhIJWDzke1w+4B2EAAh5h+leLQxy+fH3Q/gVVEw0gR6ZKSLg05uZ44w1euo1tGvDx6VpovCmQXLG80XZeSFgE2IcTGxOh1hX5SO+BqHXS394+2bHumWtQcGRHu7VlwZTCBTxiIr4tGhsr3TSKmXwr0TjE2KSPHpdSEhLKJjA56OEVGp8joEFLwj2LSgRAe9OhSwBmwW4lNeYYcm0GwKRXhXEZcXbOLiGEz/OmCiigIoaCuBQSUCA+c4eOzfGxKBGlSixiFGFKKTwjwKT5xW0aMKnrfzBJ3gmBYtOghM4EXyytdxT8yLkRn6OAyGAKuoOuJ/o4wUk06lMYZOeVS9H+m2vVoZk4h/BAZftGVW0s3vQ11MpRDAtPnnAg+I6fuIficCnO0GC7KNwyn5Fb7+YUwAcOHyeH4R0UmZsWlF0QnpoWHRQZzOLAz0yccRFWEi3pr+m6IoAp/UmEYRwZGFeZZ1UN31YYvZJuOZRUJ2D5+gOHPTihd2IRW7D8LI9oIF0JOizHodOVj3w8B6hagLiHqFGGTUtIiIcelpIXegNsSckxKTtCOOJcMd6swW+vgBUXr7ihv5v0bWfii6i3P6f6MjZwnAIXkhNA4pjJZG/VX+G1oaspSz2QL+IT6FOvE/WeU1AzdhPZ9qjUNRD1e2T/BkHJYdg//RmB01pFOLT6x2XBt995Tuze8vnnjG6v3ftyCT/DM01wImGHg+A9x6Xzo2Z/8FM//ALP1cHczfmUN9k6RoBH4+EAMyPQCQQvCeFtqDp8VG+eEetffYCPh90uEW8WUVWmeVPR8lJBWHHSfpw2Mqt7aYoLsPd3nCQNs4I5BpQqE9Dp0VHv4g3LF9oiYDB92AJSW+cb7liwX9n6sGIKkH11QaaGj+awInc7nyeijX2lPJh1jSCPJ+YPFnAhcgrEp8HEprGtziLBJ5eD5Sml7iGfxBTBBen1xz9v84RtiGFxhUUBDyDhMh8InZIRNSDp5JDT0aw+c56u3RwXTucihefmdI1zDqHRoSma0/T1g5B+/++N330H96j/5r59g5D/5B/Tf2r3/Ooz8CsFgKWujHsb3C0zTOuqqdudj6VlLPKucADA4+a0i0zSCX+atQ8vqxeE+UHzGZrCZQbkp8gFe7xUuPi3EaRiJeWDkGILfhHnLlE2HnxNvNiXnlsy37HBAPDe763nRgY+lG54oqhQH+9BmAoY3CClM1VDCvusycgaByY0TUsomgC6v60r84+bdRFxCjDf91AukBYV0eltUopiQHvt/QuqbZWanZu1geCBNaaTKM1sfFQ5Mqoa+VlBfq4gvdeSXSuIOAnNcrXLyupCy8EnLir4Pmlp2xkSkQ2QaVVG85ilp77UW0t2lP8/V7k2KSg303Pe8w5jp2oVr3lr5uEu+60lOVBq8nTJ8ADORVbK5cNdF6SO/5g7dFRz7UjJ0T4bPtFBzy6gZrcGqGBxTYRMaw2SjwaEmphTGaYXZKR08V906kJhYxPZmfT8fYrAZAblFq57TPPcviPmyeDuaWlDIoA/WG/iEJTfUth9v7v1Ye/jthpadYRHRNIiEOJKTWFmgw+T91+VGWFzJpSYF1KgOu+RJav0LGGmTYDY+Za01WapNkw3UZDM1tgX9tKFKTKNIf6+FG+JbX6/BpkTGyUbqs23GVzTLOpNT0oAXB3hnMWr6Kg5d1eBTy8jpFtSuga0kNglMHLCKMLcUm1HrLSt6T3VvPcQtjocNbwzgX7ysRj8hGnYrjZ+v7H0EUcpTEpIBIwh4lzDrHi084KrD7iCmKY3+C/Xmp/yi6gHIAiWHi/Zc4lF3RPDDcioou1A/KkdtOuq2AP+Gb/q/GuqLteiQrlMbH+vnzfQDrEKwYEti+8Va7Ndi810dcWF1/9PL2zRL4Eo78EuSNh/9uBH7Qnf0Gc3mrQsWxtIP6yQQsSZc8nJNr5s/cot//EYj9Ray4bBPei2IFXC4hjrDtIK6qzbYEcwiNtqq8btc6tfLyU+79+6qrliQEMqgFxjCAbOYVXywevdFbp9DgN5REDOd2Gvt27uKi+PoiUQQiEDiVY+KMcvGZ65twEaUKllKcCCc7vnLIxTPVh0aV5LWFcbz6w2vaVft8wtOBV6J7Mp9KbtulFH/p8E4t9L4wY5De0T1uUHw7QJBQnNC27sNpn8RkPfkOISRKvx6h/7SD2DkCU3vOYQco2EkTNqHMJK0SOAz8fJGw+PrV6vykvwhxmEkgsSuMO0bXNOv1Gb3Kvzk7kPGDe0rgxLKAJuf0fEqt2eMq7cLSLcAepXtdEgsrPVCSKcItwuJCaXpejN5OnmJEJ5l73QQszxp+Ydc6tdSo3u56ZN1hiF5K5KcFAPdZOxKwH2o8OANIZzAT0kMt2TEbTllbTadaunBGlSVidGw+tzbh47bAACEZ+ase0EAYeQdOXWlm3xp7aaNVXmJHKY/AItA8uq4vRcrHv5N7dCvRMavdeZ7NFNqk5vdkqFpIeWQk1fX6Y91dXCzE7wZUERVzhA9XTlgX/WEdaPhcamifkFSEGD6AMYiEL8nf/11ETrHp6bE1OV1fcYVqrIAFsxNyGozNozcaXjkm4bhOb7RgZgmVCMWsfmaZGhcOmSXUBMIOSkloW5CaHCr8NFV2OsdW7eWFKfEBAIfJgBsFmCEQWo3iJvd9kR1780G0z2p+XYreb1K2AnPGDOJUbQ3Zc2JWsxVPTwjHLHswN8gV6wwR7KtkbSc1eNmjwN/jIJ/PL8wwfXGiT/+4Y//5w9//M0fvvvd73/rGb/9/W//3x9++9vf/+53v//33/7+dw+2f/f7f//HDfCffOt/+/ff/fbb3//7t9/+4bvvvp0XLH377bfffgcnSb//4++/pWdL/2b5Tr/lZ2u6nmnfd1KLXr7vjYQGOdi1KCVdIsotJm3N+OXuwfeX1C8LDI7wZXqkmAD4RDHjuTldz0ixCTGsAHbR7ApkbKQYHAgG82noPOhJKQ6H5P6ABfQSWPlyf0OMwxuZGIfYVUY6VKSlizgrbO/hROcB72AG8PEFLIZXGCNgUYbscNfDNoXJysUn6oixOvyGxGDXDsy24XPtpB3Z/ExERhXLm+1NC2boKFIvwEplL964uPsT9dDXPINDBH0Oo1JqTEpZ6OCpCZjUBAdckxPDIEeYcaKEHa8eLasHUsJXOWx9nUJIt5q4ueLAUykpC/3YgT5w9wCb4QNYcayFOvnAJQHmFmAuD4yUQAzpgZEzAuyOVH9ZsOPh0Lxq4AvXiWEIrZcXIygmonKzoN8hxOdgxS0d9DwPI2GrlRa3dA/CpNYfJ2ql2chJFWGTk2455VahlxoPv1wu1vjDFFYGK64+U22SYzaEbn4X4ZNCSDdNS/E5FX6nBXe3DZwVrcXSivn+oRHzD78f/u4FmGGcNN4CzeDSHe9x9Tfppc0JBDJOoyrzLdVDd1WGLyqW9fmFpNwveGBwIsraF296Q4TC5gkJ4aLZLYcAvz+EmEN0f9ghjISYH6ZrSu6PcQn8+CZlpEuB31KhtzV6V3PfZc1qIiEmBd53AACxpTXbXlZTVjFMop/3Rs7DSB5pbTBZlKZR1aH3S/lr48M8am0fEJETLt4lGvhCSfeUeBDdD1499NrfAUb+4D3/CoaEkJWuFGvEb3ainwhWHIhckMVk0ZM1VghzQV3Bqufk1D0ldUdLONSYVQHXXGHEjsoAB2QjcZsAgzZ9mdkm7j2zqEwTzQmkhclRQbXbVNRNOtHUU359H0bKIIy0NaNXtbtfic6RzC8sQr+ob65CfOQjZGhWTLok+Djtm/JEvcMgR2h8/X7Av5mvY7p/aDJPKRwxIYFOfQuftIlwm1J/tYC7ik1/BRhh8UE1rRUD7/LN14V0JA+sPIZx9vSphtZ2qHVvphzKHW/nVjSyoZ7H12+RrHL7K0JiUmpySymr7D9HRcIkyb/pjfTAyAeSz/8WGPhH/uOfYOQ/8uz+T7/3j4ORGv1Ys8EmxV2CIXej6SJ/VX/ygvRgOlEAVroWdNcO/6bONCfq/UjQcSA0AM6FaRQXGV+/pWrnCa7BJsTcCArjZGSoBYGS8lG+flRhdraZztWu2BuXkk6LyQCUo+Z0VPVbBfiMsu8iv3WvH3ueW/OKjqjdXr/3lMroUlJ2BT6KEJNyytZIXtIeeD6nUsHxhcwH08NGenn0EfFRQkz5xB/Ew980kuPiFbvpZwSDmbEye8X79f1fC4y/rTX8ps7wKz72DRf/ZQPxpRjeqa6JyDEeOdbU+564cUdgZB7wzQxcsr7+6FgD/guh6TdNRmd9O56aujjII50FXiCuNq392bahy4INBOCEwKeEVwBg5jLLegr2u8UPf1tn/KaK/Hmt8ZsG7CsJeldNzClRp8IAo+k0BnujwSVHp8SYvVF/rrb1aEJKWZBXIHx8ep7isAGNDYKzc9c8rX7xX5TGL0RrDmRkZvrA+xsTcNIT6/bK+28oiMlG8krTvqcjUwo88hL47zjxUWVrhEcvKofcdITJqIS82ohdoGHka38GI2HRCDYpIG11Rlu10VFPOTTk2Eb8bG21kn4kJzLL8bRNl+uHf1VnnhNRN7uPnezYeqBgyRL6vyaArPUpK98W6x1qdKpJ79CiTjkGl/tFuJWH2kWEC9Ffaul5ZVnn8qUpng4ztn/Fphp8rnboKy5xvXng+dYN3Tl5WbTVaBFI3h2/8nwZ/qXQZNOgp+Xbn2HGyACjhiV6ZEmPs+7Y/20Y+gY2OprmuFCSNo0Qt+rQr+uIr3X6N1btXsPjZdEx8OEgQucneCH/6G8qzH9oGPmVcOi2mri6fOsRUVUGACzveGmb4XSn+WTrgQFJszAkmEkz4vVg6TNp3Tf55O3q4Tulw2758KXGnhe8s5QgURGtGJGQcxrTPaXBKaYc9cOOGtyiJG+2HzwuEpfHh3mxmYDpDQAjCoDF/gV7ebuvC3pv8dF7MsK+2vC0trkuI55ej2ZEg4Wrk7pPVpnvtjzp3HDsnZVruosSw5ggCDAqvfKPZm/8rMV8bb3x9fbdA2WiRog64rQxq95fhP68fOTfq/A5BXW+e+QVdfeGyMRkwEoAqc0LOt6sJ38uIG/DHmZy7AGM3EeLWru3/xBGeoo9YWebmLypJD7bridXIIsS6WUWSBIu7kvZOFZj/p3QeLsJO7up78mde3oXLFUBZmUQnyjdcY7bbxUSU3zcKSDsYtIB88w9nRawANapom60kh8lFcngRcoqBgU96btdlce/qxu6qzR+vgJ9vG3HxrzCJPrKSQcFvQtWfwSn6MavhOQvNcfuNhsvNB0yClpEKZmBsPiL4RWUuIgJ2XcAwhbkrntWfOxuLXVXQV5bg7/SumptWkI4/N4zeaAIj9xjK3n424qhf62mfimgvpYQswjplpGw01UCO2Nubh443qwsDw5hwc8otj1ys63+od/Jh2e6j70rWa7NyIthwJtXLIjdlr/ucgN6u8HoFpLn1/UYNbzFcP7nkxLb/HDxsV8Xjfxrqfnn1bCPdFo4PF1ntguGHIjZKYM6C7uImuaT01JyrIU81bW/p646PcQPBp74BwX4R8UB33iYWhLSsKjtidreG3zTbcWQewV5qZy/Ch4ju4Qtfqqsb4pLzZWaviw33eoa+PD41iNPL4yeSpiHkf+bvZFyyq7C7UpYk+IUU24hZVfjYyvRL7TrTZkFVbAOkr6yYJMkKzelcVhhdIiJaTEsqrLBWnnYn2ujo0091UZw8k0HFsOkTQkcno5HG534BLdhERCkR2AeIyw6Jy0t1CXF3pdyJZuTFiPJC7mpmfzUvMb0qi0N3c93HrOpqEkuOlFLTZQTY3zMpRi8rcBmtENu2dFTsdVrw9PKI2JSWNAV4fkV5ZPRWND5qsY0y0NtHhiJkOMILGG30NktsDpGBosWYNcCHYMGA2mUGEzWVkAjGZzUwswP3AH7SSEYs+sGTxVrdyQWS6OyqmPzqmOWiKIr2jOXDSHYTTHuhBGyNBsphQUVEEYK8Wkxea+RvFzZdZAZmcDwYtBFJizgHR6WK6lY+7xwcOovYaSYcooopxa3rNP/92AkPqHEJ+WEEyGdKvymtu+EcmPvwqLF8AT5hCdUbxUcuCwzQMGDmJjgYzeFmFWKzSjQO2r9XAvhaDF8xluD5fN1CYuWJi4sScyujM2pjc2ujc2pj82TRBevWNg6XNd7AQbeoDD5SohZJIOjKoNFTjgVwzMtxyZquh9OyBdFx6XQxw3CClRL1r3M778pwuxCuh5TTN9E4CtsDoRtn/RwwK5eEtogfzAmaCrShhBuJXpLa7ij08+0DE4073trsWBNfHZ9fHZ9csNm3p4PlPBig50WNNtGOwBpXSuPsjeYbUr8nGidKSOnNsQ7AM5tfOLCyrsKt74mREflsBXa4/H7S5gH1wh/OH4EG/kfwkgYoEo41PjEMuzqiiOvNug2hMcn0wCZCdjxCQ37pb3W5qEvdVAwbHuQr6MyWNXz1ZEi3AGXIalJqeECf5Vxcbk6Pl8WvnjZgmaTnLxJS3PpTqd5NpLup7Y1oze0+95L524OyagOTc4LiUsDzMjALER2+LR06K6AmhHjVilM4LDT5XKTfwEjLfTi0Z+cNBluExNWEWkRkWMC0iKkbCLcrkDHK1aYY3O40Xm1ycLlRetJPnqaj10R6C0K3KWBLkqHBoWnWkJO0qm5Mx3EqKhrKGRBOWAEsOIWL9L1Co6eERE2MeWA18Z/FND6wCr5E4x8AJTnFxi///1/GkP99PNhaNJ3dBgS/O3f/u2PVz6FSa3/fxE7kI3U6MdaDDYoVjfZm4gz1a074xMWzLOR4YzCzbXm39SYv5FSVmTboyFhUC1Gh2sHXN3asgAAIABJREFURhUtW7rmOSn0lUzJUKeccErRcQQb0w3bRNiE3OxsI8/UtGyKjImcb96KBIvX1xvvcE2/kGF2wWqSxYbvRK/eBUUsba/b+rrOZJcYJuSYRUvZW3BL0763SgUbWH7JTJ9wFtvPU4QbBCkVHwAWhItw+ZP/Jhr+UoNf4S3bAqekgBGQuaak60OZ/ivF8P8TUN/wya+F1JdC41ci4z0Z6VTi16XkmIAaU/af4K/WRxeqgxZpc1qfEOFz9dT/aTD/WmWarOpEY1Py2DQfCHcupiyz/fGuoXOC1UeArx/84V6BgF0c3oDXHnHrjv9fJTUnH7orGf5SZLwjo+7JidsKfEqOOmDXF+rWYFNK3CHrv1S9rG9BaoEfk+PnxQ7k+LE4vp4jh67R0IVZ3Y/Lf/YrhLwg6zakZxbSC9mhzFRN7spXeOQMj3TKicuK/c8FZ5bdV4fAYw0KW9wiOHpWaYbFj2LYk3StCbv4N2DkhAyziAg7l3TRma4ODXl9Lf5RabkcPsoZeaDh8Yzt4w2mr2uNc/W4ZTl1smvvYFlFJf3pxIHIRl/x8doBqwyf1qJuLczNdilwpxi3ctEJATmBGM609DyhbJRkhdOXByPOr2JPPXG7dujrenJCjb7eumd/blkx8PIDIBv4Lw9QvF5m+ko6MtaEvybd9jCIkQNvfpjq8Yo+i3D4K6H5nth0Vzo0JxmalZmmxLizDr9bR9zuwF5Yu0G+JMvfF+5WEkjblNJ5uob4hjv0C9HwrGT4npSaaR94s3PrvqgCRWj1/hXms2tMLy7fuYkvLvSFcsNgENTGQk6W7BtvNF5XHbfWmazI8JgG+yxS2BPR0Fu04QMEn1USc3LUzTO5akcmRfiHLUcfEja1xMYF+bIZvoEBrOBw4B0PwKLgvB2CXTf4ffe4+JyEur6mf0QtLk4OoskSr2RQsClx+7mSkZ/LH5leZfxo7cbt1ZmRvvDcFICEDVFtbzVTZ7aQDzWt35BZWg/5saIDBYeulVBu/tCskrLJqQvLn76k07+Yq9oaUdoZLjyyZMdHfGoaqvzwCSVlUeHXO/WXdvSe37/txIHuN7q3eWDkOExqhSkDDjoGYlRMXlWSp/YMDjZVxURCpMYBoJhRRuXvcVYRv2qAoYznOgZfXnvQlM/tAD5FjIw1Od0fCAYdUmJahLuEuF1MOcSUXUTAVXsJPi3DXRrqchv5blKxDC4ZsypApTH36FzVQ7+vMd2WEOeb8ZdXHBksrKLj/UA0SNgUrXlDhs9JTL/kkXOtx8c7sJ81NKpjk0LYfkzgn+ifmJNdJwmJoQvJg1PyVj8jG7rTQMypiSur9S+o2rvCIwIgjPSVMkqIrB1jPNMvREP3hOY5oXlObLwlJqclxBRCTitIp464saHv+ZZlnX5pJSBV7Sd5Mt/wr3UjvxVRzpXHTtSvaEkuTGIEMgGIBImblmy9WofdqjfaxeTZ9b0meQ29YuKVlNA0VGq8XTXyc/7IlxLzHRE+wzfN1RpvCYzTSuOUnJySUdMiyimmxprMZ7QHTRWimugwBoPpxQpLSV60NC2niBmyAF5poQ0L256u7xkVG281DjvXDF0q4q8HINgrsSW0+f1a7C6PmCml5iqMt7oGPj6+Xf/UogXTSfNxaP+bYaSCsqlxmwqH0Z0SyglZZsK6DBtdOXiyWrXZLyjKByo5ANSLemcu0Bm1I9Ni6raIcHtSQxAafcF6CdSmQeGrB4/JaT8YrP77HkbCdju65Ra22chheTEdpElMyMkxZPAL8b63kB3Pabb+TLvpZd32d7S7P9Id/LwVHVehFoFhop6YrCQnueSUwDBTr7eJj7n5+Gj5zvdEWx8vFXcEBIb7wmcFACCCk6ku6nq+aXhKgELaU4aPK4gJJTEJOzwg6eEZHtAIG+pgTCvEXZ5hUeLjnqGAyZMweVkOS1Et9UdP1Ox+tn77o7z9zzUcer3m0AnuwAUpMSHBbCL9BGQjsQkJOj4PI92KoTsrj18qlC8HPixfaBHxAoxoZlhZgRbXDN6QoNNiGHQJu/I8Z0OO22gY6aALP34sjKTT9uhj8cRGOxTEhAY9t6zvxUp1h+cEReaqy9a8LTw6hpAuxGgV6K+IDDdlBpsCvSXX39NRXzaTLnXvKc3BZ5Ctx5FNj4o2P92w+WcNm1/gbnuJt+vdhv2f1veNcYlZETkFYTMxIUTHxAM3W0wujdElN7maj7uQvo8lmx8qk3aygqIBgxWxWLtk9cuC/tH7RdikS4rbYYILPL1wQJcOZodwBfe0vto93a9ywj4/nAp8SoXNaNDbOvRWCz7dqL8u3veOYverml2vyHa/K++7TJsMoZDjgTeS7oa28UmXwOhQ9b5bKu0IDoqGNB8zkpMiXtz9LJecEBkhe+lhg/8C7/05hvxxota/eNs/wV2ebwo8TNyuI20rjRfb9j+VVy0LCvXEQrDCcpsq173XTLq1hP3PYKSnOhJBnVJsSoS6xZgFIa4oe0/Jdr4q2Pl61c63G46cVZk86lwbfZnd/9EedasWs2oHron2n6za+GRNe89S0QrgmxqQKkYOnZEM/VxAzdHuR7sUc8gwGMXxn4KRBOwog4Pm/CUELOlBCLu0/3Ldzre4e14QHnpeiX6IoOeEA1ekmE2Fupr0rma9sxGyK1C4JSZdWtSxqud0SX2XFycFBC5MFm8THflQTozCd6OLbf7zMPJPCz8+2bTS8PJjb3rgCy1qfQCy/mkhzU9s5D/tR/N32LEfByPV+rEmvVWNWtWUpan/vVxuW1hYDE05egEQwyrcIDTf45l+rjbPNu17MTQyjX2fpvMOTBPlN5lVqEVBuOAdGLNJYSbcqMY8KSKsUqNd3fNmoUAbFsqhaSD4PPVeukF87B5/6JcINS1Zf5zDCbzvIgGskAxRaccjOtjjChfCmrCJ5Uc+4yqPBoVkAxCasFAck7YYeMMlVHox2geA1GCxAXnyN6KhWbXh87rmDSx69TcwWV6goOo3n+DvO1u9+1T1HnrsOyvRj6kouwIbQ6DHYUzUd5K/+5miNn1+o0F+BIb4K4duK4Zc8r4PShq3hcQvgDMVLwBYbK80XvH6n60xnxG172L4MGnO0wd4p8eWbipd+aJoxwn+ppeFu96o3v5q+c4TwoExscGJELMy2Bg5I8Nm5Ji7iRhV7n0lOr08wIflDbyYXgHRyYsWFSxlwKMBwMsXBKRmb3xK/OwvhMRN7f7XsyuafYISmVGVUUJ9Zc/NuqEvG4wOMXaWt33YN72A3i3473yCU5Lq1op7TquHPBJTG4JbmtErf1XUqsCh+kOKO4XEDI+cEpCTOurcGvS1ohIJfC/vSiB9KWuPlU/NcckZHjq+nDi5occkFgn9YQ5QLGCJQWn/0r5RHuZW4TNabFqDutW4S4pN8tAxIXVDjn7Q2vMQV1iT5Av8ARswCvzKDnHJqfrhu/XGSTX1fmc/sZTHA1CdmA1YWu/6R8uoacXQ2RWG4+L1/SCKB3yrk2UDZRtfKtn8RsnWd8p3fVS05b2SHR/yei+JDBae+S5v6PYa/Pn2lpqMSC9veBWkBi3Zxdt9WoFeEh45Wbfztcqtb9fu+kR64EPV4Tfr95+uOnJt2fD51ejDLWuXVZaleQE2AIkgujNhxbviQx+1HnhSue+pqq3PFW9+sWLvyZKdp2oPXBIP2KWGaRl2W4JPc01W4bGLrejDSJsiJjmO6c3yCoyKySmJy6kE7GQAkkPzdzTsuNow+BXXNCMZ+qy7l5JX5sbAIAEf4JMNSnYvOHClaOQr0TF7J/bh1p17pcUJQVDCuRAENrOUzzZSH21CCUVHW3zOYgBSOHWH63tOcnteE+15TrH9Gf7Op+uPvFJ94PWqPe/UHD5ddfTTuoFLUrMdoWwy1KIg78PInb3nD2w7cfB7GGnhQ8jncTPaZMSomLqopE7sH9RLswLpSUACYNYG8Y7X9rnriTkuXEU914K/09n3ZLWsm+m9CIRKkjpeExpcKmJWTkyJULuIcgpgGzxco5fgLik+oaU+badeTC6WQMlCCD9Q8khxr7t2+Ff15JQUu9RqPNmFP1kiKqe/jyEgeHkI9wVB/9eI+WuZ8eYK6jXNhg2pOQu8YF5WGljUvqRpj7C1LR5SjgCE5hWtfVlhnhPi7mbifPfgU9LmppAIDvzSs8pCS/aVr3iRt/EN3vbXqna9U3bos1rMVo3OCI1fKkz31KRTZ7i8auBkx97n4pEjUR1PZRy4Xkn9Qmia1VAXu/CflciRkLQE4BcIFyCytpUduMknZ4TGMQR/v/swyi+lO6UZYUmCLQWbXird9U7Vrncqt31QvfPz+j57PX5PQt5RU7cQ6p6Y+lJucmrJz1t6Hi9TqoNiQ+FXJDgluryrWt5dUyv0DUmEOuRQQUrri7VHrQh1t3XIuWboQrHqIAgtieDp0zZdrCHu8U2zVdQUj5rY2P/W8fW7H0sJc8XRPR//a0WtSpNFZpxUUjYNYVNhsHhAStjEpA0h7Vp8ssM8qtj9wsIKTWBIBMwe8wkCzOREeW/z8SmJCV4xMuiwgrmmStShQR1a1KEzwFcN6lChUCMqpweCwZk9PZwI/TcKmOXoUNAF4p5yBTFhE6KTMvRGM3lzOWVdQTjbCVc77mgzWJv0E2r9BGKYFKKTXNzGJZwNuKuecNSR1mrYxmttM3+h3IwuyF7ix6YZdkZcyJLO8k1v6sxOCVTbwtmzAuav3icb52HkAzxpVeATinnoSAeajcJyJHxUiY9BJIk5pPgUn3LVmSYFQ6Oy4Wuy4+Pi407xsEtsckKKFZ0UGyxilNbxwpv+hBSfEBEOudm5evjjxQI5gwH8oKaC4xWwOL5sp3DXOR2stIIAEoIoeObvDzHl8CS1/hg2EsaZwkgYmNQKj+g+jJSTNjVxvRX9qGbFQY+H1D+uOA0heAcuyGH/u004eFVquCFHLQjqlhpuq4ivddSXamy8ibrUbLyuI2C8G10OYUdgy+20zHxHQN3jEfckxLQcn5TBHN1xqX6s0ejUGKHUWU5Y1MTV5oH3S5v3MkPTAScuoWZD5YYPEL1VaXIpTG4VRXec4A4Y8eIZtKgYSosJGDgEzaIEvEiUuFNFDyXuUuFuJUwmnFbjM1pilraP25aPTHWZHY3ouBq3QsMeXM+DyxOeFQoZYZdB4OFQkJPSLQ8nZxVB0RHwYUSVJsp6G/oviY7dkppnf+hj/AHk+ysY8h8EIxHaryjDHUrKucw8tsLwIb/9QFIWzR4DwA7PT5cNNmE3taQdUuXz4ToqOrZKCeMWnQg6JdG7ZahFTl6T4jck+KQcOhsn5IRVSUHK/QfHBZGk528UxJQMdamMjkbTtabDL1WrNwHfDL8UCXLorGTolwLirgRzSjEa8P9XYKSEsEAOkP4UEOihh9nOAnKab5yVmidV1EUddUVluILobypJh9pgb9bDoUVtQtJebbKJyYk2w6XWdVRmWiEAkexFmqrtr6pMFrnRAZuv6ev8Adn4H278BYxEX37srZ9gpIeR/DvAoJ/e4r93Bn4cjFTpx3V6qw6dbCVGmw68Grmw3sfbHxog4f0t0m9xF2KyS6jZJsrZtu+FiCjoL/BAKWZwYWLDXi16U03B56MYs4ixURl+E8Fv8tEJqcku3PVsZOaSADacO3voNU7pBuXIPZH5KwXpkm86HhgQyLmflwO8/bNS+Yd0uE1hmpWRjmWDF9Sdx/IWIUwYwBGxVNNbIFoJvOd1QhDhJQWJ++VPfiMbdqv7TpbKVniyb7yD0kMyuJH5qujF2ojFmsgl2sii5mTe1pr1TyP9F6WYTUk5NeSEbPCirP+s+OB7kr2vLdOfaur/YDl2sqnnpYYVexaV1vtC6S6A9c7xBdHCHfwDJ5cPvFOvWcv2YQR5nnwggBOZH5YljClQRGeLo7PqwjOrwgp1mY1m3uELCuOcjJyTEbcRfFphsDQdea9Gu5UTGA5Pglcg8MvK5rbLWjcC4EPjSD/Aycjd+Dz30a/rySmF4UZ191O5yv15rcNluz7lkbe4Q3eFRou4562Stm3esVFwx+AvH3Yaf5G2X9Z/RmOCyWdSOA2wN6HX/xaMlGMWBHdJ8Fkx4ZQR11uok6v1Ty0uEUNOybeB3fhG4VGHhJoRE24ZZlltOr1Df1yrVsT4s7xAAgACkLOv8PDV6kGbHJ9Rw+QzlwZ3ydFJoeGmhLysRN9p6xmprq2O9wL+IAKA2oCKPq7RXj8yW2+caBr6aB0+UiuR+XPCGF65gCkDSw11Q67moRMrjxwRdawHkUUgsDClbNmCyvbwJU0hhY1h+U2BCzXBxavylj/ScPBznvF2w/CtVYYXm5DaRI4PHcuSGl+0unnPU/JN+sz6lvjFssgCJGpJS0zlngT1s2WHJoVD91qHzq/XjzQvby7ISIAzexgVKy9bdUy+ES3hyjOWVMfmNwTlqkLLdxRv+0hB3Vaafi7D74mIOwIYTX+hlXx11d5dRfkxsHXFL9trkTJPtT23YQXwSQUgIaRwR+WOSxX6ubpjNsnIiXW9g3WLkkLgRxMGfMtA7UCBwVYyfEtkGuvC3t176JC2Lj3OPxCADMDkA+GIhjq1doAQNesikpIBCEgSrpXs0Jc0L8+tk6bmcRMK+RGlyjDurpTOV6oHx6GuErPIh51yI5SOP4CRO/4KjIRR6nQojg2KWiGMfH9vv7461oeefOcAtjAJeVSC2gW4XQCXU89pyQ9X6F+S6bZG+GYCdmV46894BocGNnW7xahVRLkExikRNMvQpDd5VWd8r4t6fEGxGFo9YxSJuidq+ycbyFs8zCEzXGsxfdZJvlStEIZDfjEYeMvZSx+p77nX+vB0x9A7XYd7llYt8fULBsw0EL88oPFlTd9rzSuXpyXSMDKkbGn32yrTLEJMtOEn1/WYBUpxWAQ9G2enpxc25hU0ZxcoUpfIwouawrh70ze+m3vQUkt8JR/+VdPQtGbgXJPhsgYfXbTlvSV952qxq6LBz5sG32k/+rBm7bb0wqXMkETASgehPI5sqM5gVZjccuKcsu+ZlbsPlBekwWoH4B0Ynx1aIAzLF0bkS8MKWiOXbs9qeqF697hkYEZB3JKZvhEYf6UkrR3kKc3GI3EZC4F3KPBJBzkd+et+ptpESPni4NBEKOAPkSe3vVvdMyPFv2yinF3Gi6Jtz6ciR/M3vrm031prmuOa3fWwO+fM3t6Hzc3K4VCmNfx/N4z0eCPllE1N2pTQ4wQrFjzplApiQjfsUhHX+RtGEgtqGZwgGL/BCI/jblFhV0X4lAifgg8V1KEwuNQozPeHw0C/0tsqqKCAQ4m6FfeHp47crURhLKoHRtLhH3bp/SUTuwJGFbvV2LQGc+swZyPq0BqsWoNVg9oUqFWC2vi4tYG0CUinALMLoMJttAX/ULbuUHJ2IdvXD95b2YuSpP28I5eVRqccs9BQBC4uQr7L42D+vknifqUE3fo6Po8kx2gAOarERxX4GH1OYA4Nn3TXU26u0SEwWvlGB9foFhjdtCDTLqVtn/Ts1irFJ6HQF7ourVIoYHi9nI8wGHRjJCcqdJGuovNlVf+Mmrgth7AHWstkmMVTuCfHJ8SkTUT3Rq7TX/2veiNp/9v3iJSGprRsGEbgjDWin9evoXwD4n0B8AlI9stbUb7lTSkxKcKsgsExKE3EJhHULkOnZOisHLslx5zQ8E3YoZWRcIuIaSHhFpJuATklJGeE5C0RLHpxQuksdMrRqFU/JkMnZZDZHm3BLzQefCW5ZgXwiQMxRfnNJtnBmxrMpSKtSgKmyGoIpxr/fsAWYNyhIRwq4n7akAKCf0gSKumhgBwjlJ4iuAvBXHJ8Cuo3iGkFNQuzEDAIO2HTLlywmCc5CbsU5r7a5fiEVn++TL2DExAGV8h8YjlLVizd9pbUZIN5LRRkI+fHX4eO/2hRq4eOhgicsuqGLK3UF9p9T+fVN/qF0rdpLz//4pZW8oKOssGzQQuwIZj0bGB2GNyPOekxQVN2k57+TCm85j2H9ucwkr48bAg5IzS41eREu+mcfLMxrVgEvOL8MxWSg59KzL8Q4LdpvsKja4VBPghtgf7hq+d95s8e/FnztZ/W7/E8XRHEJ6YayFtCwiknxlT4mBobU2IWBW5VYRNadEKNTspxB49y1xidCH5hec8LNTxZNGzKCozhHxT3X5VSboSagh136IRHMz+vS/eo0//K67y0HvpspcSkBrNs6T+zaSX2E4x8oGr97yGgn/713+EM/DgYqdSPa/XWRnSyDR9t3P1ScGI5k8Hxh1iRAUCQ3+Jmmem6lLI1ExNte56JjE6CORQeDs0rkVPQocOu6oZsEnxMjI8K0esy/GbTiFNMWuVDdt7mx3wj0jgMaJajKcTggNKNuuNfS0z3VNSkYstwUHAQhzZh0iAzLnLpJh0+oT42paCut+x/sbhIER+wgAUCADO1Yt0TDasMgBXxwFEIGNEhkqPKJ36uHnZqD721uE7F9miImGzACgSsIOATCDd8AhmsYL/ojLTqluLVTwowl9Z8uxGdbCammqhbzbilZfAT4YahmtZt9Y0rK0WKvNy85MgwFtMLlk7HFcXLDpVse1umv6Q7/NpSQSuH5R1E+zOhkZ7BAj7+8EdAa4MPEzABK9Q3mZ/ZeExjmpESt+TkrA53tA1ckHbqk9ILvKExGwB2JjOni7fpceXafgA8uxwAfAvyu1+qGbpXQd2rI2/V6S28wSsywoqQMxJyTma8pcavN2wYyazgsTmekhDY4OlVur58x9uI4bKKmFDQ655S3NaEXoMwcuerf+GNnKAfzW4Em0bwSRXxRRv11kr9w/mlChhaxOGHd75ZrrfB6ZPBgejHV1Mf7zA8rNOpk8OCWYwUAHggfUdp700+OaUgZ5Qwkd4J6wRRm8QwihCX1OhbK3pHysoqYuG6QBwADYEVA1yTrW5kpsE02WI+uRk/xpeII/yDvBmZgCEA+Ye5w87lw++t3b9b3NzsFZEK/JOikorYQUkMv0jADgPewcArGASkBBe0pqmO527/ogx1bRr6WCWUxrGDA71iAEgMTWmoU6/Mr6piBYR4sQIY7ADAgv0fjMTtwdzHF2451WY6sw19tLW5LT08kskIAd7JXpEFZdJlpTxZUFiYD4vlxfIFrFDAyQ7lHinbcV419I3U9A2fui2mRruIt9Zu36cQNEQGcGDxeGJrzLLj/L0vLkG2A680ABKDCneU7vyi2DBVNXJTPPz6up4jZanhtN47Cfg0MHnDvGNf1Q3fkplurqTePzDYr2xITwwKgo2CoBLUYyry9JrBYyKdJiwMBsyklywtQ3hhqdF+wUHe3n5ePn7ANwiELGblbglXPlN4YLQWn5GYb8mMbjkxqaQsavx6l+Hyn8BImNQ6QbOR0KgM2z4gG3lJTnyw9ejA0hjvCDh5zAFM7gL5Q3KYSzIpwm/K8Asq/HTL4Oua1n1JATmAUczRPlk7aFHBdkQ7VMaRLgk1g8ACZ7uUGBNSX+hMr62mji8oksJaiyhNWutTIsIOy95Rl3hwrJE63068wtUgyVEMiKgBz3sxxuufWP/ExVU9/YpGZWJ0HABxgCH1rnk44+hEM/Vu28qWjMRIKG8PrF6y6h2V0a2mrrXjb6w52Ncgqouk2z68fWPSkwoiOZEBvsEs30DgGwZCizg1+4NbXsnePSoZ+qb52Kxaf06Aj1aZposHrgiws+qB12Qbe6WtbUqloKyoMCQ4EXgvAhEq/wY0fe9nAqOrkZxo0p9o7R1ZvXNnQWYCB6bBAthkzvaHuSXw2x0OfDP9U9pTBY8WdH3Q0DcpMv+ST/1SaRjtxk/K2/eyOLEApILozvDWF8rxy5oDxwUNdUFB8fAAgxsXdJyu6p0ToPdUmHMZcb0J/0LQ93HV4IUqs73GZONRoyLyM53+pT279uwuiuv3BlNR4I/x8/bI/7URO4gHRkL+yqLAIZpS4GMIMQYThI1uRf/psubdAQmZtBvCJ6pIzd35Km9wXEJMq8hpOeqWozDa9D5cxCBofIAelTSGnMeTLhXqVKEQSUIvO01FemafNE9IE4a4UwHzUdwK3KWE9al2FWZXohBDNqI22B+AQkkbl7QKIWfllvdflh14S7Zen13ewAkMZjB9ATuJkarJW/u6AIOLfCp8lO6BvIVgMzD5A/qpLD8c0vk/IjArEiZGwm4lmpmkz4MFsm04tHeKCYcYtly6xPQQwWBb6C2UeioB57slYNk9zYAh+Lhy8LNlu48vLa+mlyEBO64gQ3xIuvd8E/qllryFYGMybJTONhj34Fg5Pi4mYXWkDnojrw3sPvFfitj54VR+fvt+IKccn1CjV6S7Xs4qkkewAhjMYGZCZU4zKoaiXJvIYJdiEIMhkHFySFG7FLUjuFuGuSWYU0I6YaYrHHbPkFJ2GWVHYIG1TUVYPaXVKsIqRy1QUEq6mvDrnYbTivVGTmwRvCVlqys2vanVT9OGE4uKsEKIiNoVqPP7gTkVqEMBO+g9lYZ//krToQ4pTWtDQSzccEmJKViVQUzJoFMXllL+cCAE7OSU4Y5G7KJ699PpS8X08noQSOLGqlGu/pruoVmN2QEJRigofQC3/sQJ+UMA6dn+R3gj5RAkO2TEBEKNyo2jWtONVsPHdR2DSfmVgEXP5TLKW/BTGmICwuz7vLqHXZ+39UK+0bPnE9B4DK3O9r/EePOHCU8vHdnqkg1aNEc+UG+icqoQTnAMYMWHlHTwD56RUnMibEpG48b5pFYPkvz+9cG7/XCDXs7wnEyaE57/gkhxh4R0IoRdASXE9wXk9HdtTIGPyvAJCQxodYvNruXUx5p1u3JzElhQo+adpRtRoA6+3i0jZjww0iNafpB8+7c2PP+blIChTfMw8pNNK39iIx+gyH9+Qe/fAaf9k7/Fj4SRhnGtYR5G7noxKG6pD4CeRRr0+LILdWLTNTFlbSbGlu95IjIKBlG7PD6hAAAgAElEQVRCTpDBBCCWkdMq7T2rpG5K8WtS/LoYvY5gY00jbilqaRm2y7c+yQ5M9qGbHmmI5x9UurHp2FeI6bbWeEO5xRgUEux7H0Z6ARAXsbS7mbiy4Wdu2ZGXl4pXRAdEBAJWgE+4V0iRdN+ryi0Pefun+tA7RntjQqJE+1qe+LLJbFPseim/SkVjUQDRY3CsX2xqSExScHAwm2Y7fb29OaExwUuXL9n6UZN5Vjs42Wi404T/ehk+Ld3xZlJlS1h8Slh0dEhocDCHFcj0HDvLO0NW2P0qjAsyjSuPvLmoroXJ9L2/A14A+HHYkTH+cWkBsene3j4B8LQwgHeUb6a2Cb+hxO1NRtdq4rqiayg7r86XReMLnwC/7MZFXa+sOXZdtkYPAIz0g3Y179yy9a9Kjv+8kpyrNd8pp+ZKidu1+G0BOoXgU82Us0P/eY1mT0RYdMADSWv4kuCmR7mGcYReQVPidgluFxPWRuzqX2UjabGPlQ6+nlLg4xr8s+XUGysNj+SUaSGnxOFGrnqpErMglEuKuuT6ibXGszvRx7S6xuTwcF+vdAgj07ZXDoyKzVNKyqmAGRY2CCMNTql+XEFc0Rre7OgbKikujoYnPAaAOt+So1xqsm5klmu2LTN/uA0zSSW8WI6vL1gAQAPIP1xqGNegb6/de0io1TECowEzhBW2iBWeyY5K849NDoyN8ebQWN0/mbWgJUD0aMHByb1PTEjq1eHMAA6Mug9jBmaEJ+QFxKUGRCaFRCWERgezgwC8oLxLQYic03Cg0fDWDvzp5sbOON9gL8ACzAAvdnBUfGrEgmyv8AV+sSn+UdGc0FBYBB9ZE84zVB+8IR36SjXiajGdXrunb5moJic6jgkiAaeCWYdysSsrR86XKHZCVhPEB+RvKt91pgybqB25Ij32+vq+w2UZoTRdngoYAk79iNT8pcA8Kzff7DCf3I1hEm52AgwTTgGgHNQNqsnT3YaH+Yg4xBdeb4Gh/qEJoYzYGGZ0pl9cfnRcYhC8ODiAsxTEtoeoXyjvddai0yLCrSBsSsqiIW78KYz8QNPzBQ0jrSLYSDGB4BYII8krcuLUhqODefE+/nBhaCHwqkuSj0ixcREM2h2XY1dV+KdNg2/p2o4kB+QDsISlfaxCfwNOO8lJsWEMgan4bs3/x955QLdVpWt7S5ZsS7bce+8l7r039d7de0nsOI04PU5xiS3pFEl2CnUoAwxMCCWBEBIInXQnLrIsyy0VGJh27517/2lM/rWPbGNCwjDMzLqz7sDaS5zIss450pG8n/1+3/tqrZWaKSk6xjN8XD704mr9cFimDLqneqqj6p4RGmZZ+HUWssAbnCzXn2vRH+XLYZesA4y0Y9JTt5RrTux++JmKGuGqiGA6xRfQy5zjBpO3j/GeuFGpebauqSrMzwNygUsxgZHTcv3FBvyVht39WSUlbgxYG2Fn5+VKC/ZwDXT2CXbwDXT08SU5BwD3FBDR5KF8NnevWYnPlWNXi/WWpOEb+cYxJXpKvVWbnp8bGOAV4u3s7UyzI9EBSAMR6wOaT2Qi01z9fA1mbkbfaj1wqGnj5ojQIOjgRXZwYHjQvP2cA/zdA33dXJ0cgL0dNdLBU+qctC1+3Wme4aZs+GbL0Ehn/9FS6XpAjQZ0lj//2SLtFOvwxfIeA5NbSKF5w/JpF3V4w+vFfbN89LYUmVMiJoV+nIdfKcOvsIZH2dg5KfqOEntFtQdXSVhsZ7AWgJsB4G7wjxi5hJFyAqKItkCYN8pBLGxsTo5dUe55LjJXYGMhR//4ePVe5oHzQgzaZhJ4BmfqEigB2VxzYKXrymFTWpYnmjCwDtLCojwCWxO/HtOw3hVOqeFcU4HAAZ3TCIws11lUiEWITTOhTbaVqxkXb3+DW9kfn1Dk4gy/h+A3YTDLU6LP33uZhy8IdeNK9IoSdhdAIiIw0nJPCdxShxVhFERUlsrQqZUDqitLRkEizAqX/bBZ6ONCBJwQp0wky6/ASCH8kUWtu1rbd0pQvSkkiDD7JtP8MioK2l+s0lrq9HdUUFUbF6MQIyFDYgRJYhAjeVCNnFyrufqPwEj4ZwMWf8LX3Cw/cJ7fMOANtXt7qkdYYEEDZ9txFTYpQWZXYKSFYAaLGJkR6+aFyIwAmxbiU0Icep8IoWmymTC8mRRjUESVIYsDZn6gZql+XqpfKNdcqNj5fKaoA9j5UfyyImuM7N4LUnxBgs1KsSnIS8iMUDcj0s0KvzFmhLppIQIRcXkIUattCOArP0Ooi1aIkVBmJEgSwuQctOeBp7kSI2fE6KwAmxejlkbdW+zKdievAPjXnBxCL9yUve0tDjotH15Q4FMS3QTx9/Wv0OMSpP2QwI/li//BG7AxUoyNi/XXhPi4zDhdO2RW73kzQ7SW5kOEpAUn1GpeV6Em+QMx0iyFSyHQLXlp2M7o2zqk7aqAt2pkSrnvI24jkpDBpbl4AJITPY4ZXYNw+z6CV/7XzjpfoyOhSS7+88GnA5/cRnGEERfxGYHFqPBOOcRIM7FkY+tDHpei4yLYSGnh41aF0dQ68FIpmx8eQFThAXpWy3N1hz9j91uhbTKhRv7V/a58ADRr/REjCZb6Gh+Xtv7FEevf4fB+IEYuqpGmWmykYvuzzv4pZADtDAkqc6CmVnP1k3x8rgqbaNj2hK+3H22xqJUEyGGk1GbWvncl6GUZclGmuybTmiTQ3coiHzS1YBPl6x93dA4hEfId4YpAd83pqD58W2acqTCeVz2EuLrAolYCsCgABLlmNtRhpzc++naSqN7N349OHIOve0x8TtVm/KR6DeroEO0AqPbQ3pwEAC2sbMPan9ysNUyUdj4dkV9N7IcGfHOjBF3Z9RpOS3+ZvNmN4c4gfgBPhxHhmree2/1Opd4q191RI7+ux64XND7qFFUGYKAUhdgh7L4kIiqpZLd0b+a+vG2nJPoRSe+b4exOQPaDValUZ0BzcU8pTa/YlteiyWs6EJJc7EiyqY0UikeaasdLjfjVFuN4046fJSUyPRyciHME9NCElDpEMXi5+xlr+ZoBO2BPBB3AHlTW+meqHr1VOnhNeshSapjLwT8t1H/KxuflBku17nzbvpcKy2ocAQnW2pLpwDnEg7szdd9lgeG6Aie8IbBZHjbDw6fLkZG2nne6t9yrRkoIhzMJOitF5giM/LgOO9GqeTIRYqQnoJcxWn6WpZ0Q6+dE2JwMMa8d/mib9vFyVUWQi7s9KRqQeCBmS/bgKHtoWqqfkGHjctSkRGcV2nmxZkqOjlRoXm3p1ednp/jBN9QNgCLn/F6u3sw8fJ01NFU7dGoLYpSLOeEuzk4wKrsMJPVma61y7L2a7Ui2pB44hQO7UHpyRWJlX1YrVrpukL16U2hyBJUKKGQycEwGkRu9a87sfHRKyq7wIJGJL3QHWFzqkuOW1pxV1c9fqxOtWZdclhYU4EUDzvCkElQV2mMb8Z8pKloDnFyJpQcSnNrZ+TvEiqJVPQWdRva6gQJVg1/0KuAcCYKEXhK9CDete3JkTZ9RIeHmhbq72rkC+yTv7C0Z20+v+Ylp++GzhcJ22CwKPOhJjYVbXinTnuMcvCA+eLLjwIG8eC8nCEPBAJR5FBt5AzMcw7xoaLxm+OxDyEEBLy/ULZAM1cg8UKZR4W916obZwhJ3e0CsctKB96ogSVds86HsDT8VNm/PTUtwYTAAORBQsgin3NdY6Bwfhxgpw1di5Mk9Hcc6Np9S9Z4nMNLMx01SqN9MiLFxIX5Nir6/theLCbJ1akUBammQ6jAXGeXiU3zUJEOuytEPyzWv1TT2RdITAUi1r3wkRzsiwMZlepNYe1WJTlagU9WayXrNpFI3JsTPlw/9vMVgDMoUQYz0qoio+akAn2fit1nITZ5msgL7qB1/QSbmpDoDN+AJQEFgcsWanXvWravLjvZypdqRgLdb3Or0tjcrj1xveWqiYd9wXV1FtK03kpGV1XZMqZ+WGK4q0VP8LiSySE5xjSZe8EgHL2a6eGfeajylfYC5ZmNsdgqscrALs0voDKt+VdxrrsKmSw03EoZuFx4yq/Rn5Bv6IiJjHElUe0CGobXwqogGXiLnwt6wTe+y8ZvVB2+vOXShbs9BScN6/5AkAGhkh+iQkubstoH89h5WWxeHz49wtneDmO8HGBynYl3Jvo/bHx9fqztW0bojPo3v6J0bXLCDuftC1cGxWv1rrX0HCoU5gOEOLz8XZnLzM4L+y1KYdDArwWc5yAQbG5EOXSs3nK9G36jXPlM9cDCjqjY0wDMBgAYAJr3A3WWz1n97NRI21BHDNrczwQJrxCrHx6p0Z/Mqtrr6RwMSDVCdnJJVObtP85BpGXpTjMwLcYsAmvubBNgEkagBQ2/uNyZsj4F9U0TKKqS1rwFySVSBdYxQZpETDGkjSZXOUk6okUrEIkKtbHSmzDDNM07Id7yaX9zuZh9A/O20pwSku3N2JnadLUOgS5UEuapCL8jRURHsp1oJGPffhuYu9xtiWNi5aBQkhNtW4nbZb/b+GFmpG1F2/SwokWlPhU51jLDcFLVG3jtSZ5ivwa0K6LE+IbYxJDpBAAC85eNT3H88RlrF6JwYnYev6vYXozJFjq4BZKqjo2dGat0R+eBVGeQ6q83khhAkLbDJUGcV62aECDQH56OTAjhMS7cmIXSjhcEPUmRSppuU6iZlsH54ErIcPl+FXhFvfiokv8Y1vCixcoB74DwfnyIiOmFLHmHqYIWAisx+c8wIEKsAgR3hK4cAm7UNgt7vYcWvgfObDGkl+k5nBdiCGLO06l6LTMuBnRJ2Pg7hksiax0XQTfS6GHaoEr3vEG4nl0Hxuzf+OWokAV3wT8ioCJ8S6xfKDQvVujH+2sfDc1SA6gO8k6S7fq7GzTaMhCT2TU2SOKr7nsJ9MFKGwbpfKSymmqjqfqdU0e3pnwyc/L0TWTHVPQV7TgqRywpkTA6LrmE45Ep0XN5eiWr3bNukzhUdqkufEciWNvnapvybbEtXMnQCZi5jZjFuVmIjknZ9WFCskwMFODAYYcXsrW9VD98SDsJ1Adve79ndd//zRzVyWXNcgsev///vwGn/4uf4wzByqTfSVI1dqdrzs8CEQgcHiivhYQJTE1KbWNgcB7tdgVkatj/p5+XnTOh7kLhcUhlFW9h956ToqEJ3VambVGhnJbCXYbZSY2nXXKtZ91hQeLqjPXSSIdxkHJ2zV1c9fFsybC0fvqDejLgznOiL8SFOwCPVp7RVsvvRLNVqJy8fCgWWzpIAcKaHRK1iChSdqVlyql0IGZoDkKkQIyne0ey8KmxVOZZYayhsGkxjNSWUdsQpDjG3fczrGVMNXqzqeSVb2Ojrv1iIC71PXCL9yjay939UbrxRrb/eYjRXdB/PUu6MylfFFqriS6qiClThOZKQmDTbzoFfoWfRhuimh9ndrxV0PBLHXLuK1RzNbgpitqS0HRYcOCcxTkqM18rWHY5IYTKcYfkdxdE/prBJ+tCzgg3Prsou94OLanACC0jAMSQhjNWeKO9nVfVl5ymcSPa2RWsAqGH5tTEKTZB0kNt3Sjps5g3d5BnnuchI/kMvJCh2ZbAb/f1iyYAeGpoWkqkO4m/P2nWGjc+JDXMq2K8+LcAWoDUOPqtGrq3ueWfPAzASmvDBPo5JBXq5FjvTonmeKGp1AE4llMZjSQcmeYiVB2uIxtuNZ7cNHCmXK/1pTpB87HggritFN1p6cFpsmJTh40oMYqRcd12smZGj45WDr7fux5lFScEU4ACn3RnuJf0iwzTn0A2WcZLAyCE+u9jHwd4eBAMyG8TtzUVvKA6NVPU9VbB6IISz2Z+5NXbNUzz8qsBokg9drMZeE7d3JqZFejiTqGR34ConZxxs6Tmj4Mu8qcAJKnUk4JrjnL0nvvUdTr+l8qC5YehM5a5BvjA/3tZAGs6T9b+8Rn9MWNUc6sNwgBxJheQZVRVS9WRJH8wNVh2ZqO9/VlRZ7xIcD+gxIFxWuuNY3d4jpbyipHBPX3jpMoB9kmtqU5K6v7CimyVdEx2XS6xL2FMC8wPK1gXLe0PXPJm+59UO3eHiDNgbaQ8rOTO98wdZ+8bYhnnBkKn64IfrkccKivL8HP2pIAaQSkDpQDn++vpBnUjO9HImkwEJeOZ7svqTt1/I1X/KeuQXavTNqg1deSUlHt7BkCRd8hzL9hb1XhLiVhk2/QCMvPA1RmJjBEaahNiEDD3f2W+MC6M5UymAFAWoRT7lD5dhk6V6KwczS3RXZcj75YOvqit3BdiFAZDiUPVIhuYKFzdJ9Gah5poSm6zAzJVaU512Uq0dlyJXKozHG4yH/TJ4sKjVXeYjeZipmS3FPmciN/kDozX4exvw58rFnDQH4Arr2ZOCQ7NUgjxOqn+ova2t2sspUhLC2ZVUoclS7cgokxXkZ4T6QB9mQI3yze9OajuW3/0uX3NW1Hu0cDWeJNoZlbsxPLd7leqZwh2flAzN5R821RmeVVRxCCGXClwLnXMGSzd9XKWbERtmS4emOUfMkuGL5T0/Z6keSsuvTMxRJ+TIE3KkAVE5ZJco4JzjsGpjUN2J/P75KsNIc+8ztZsNxcqdEblt4dzBzC1nuUNzAsO4Cnln9Q5EyS5K9ndxc6QAaiLwrM9Y82y7/tWyiua4hHhnVx+qS5R3Rm20oj9VuSNPXJcrKPVP9AF0on+cHheQ3xzB35vQ8GT21vfYuhkebpEZR5uPXK7vPyrr2FsgUcbwBIywSArZIccrqi8k0RoddTfM6e6/rcXON3ojFx0+zUSNIhEXQZipynGzEh0RbX8xv7I7JF1B8cukZ3Rk7/6Qh1il6LwYlnqaBPjY9xjjAnyCj48L8DERNiGBNbRLzV2EQEFoFFCpsImTNoC03do8YNU2G1h0RoTMcnCL5MhU+cAZVmVvfIokICrXL54XW96Xtvm1vMFxFowkGZMhV1ToRTl6Dc4j4bwZTkOXxgzxz2/cSqBCCO8R3TO+gZHLPElg5AoRcll1ERJFreXoGHP9C+6ZNbTwbNdVvFj53pLNrypRixqfVmMmBQYxUoLYABLW09rGPwcjp6XYrASbl2EzysEPS9cORxTU+kUV+yXVJjY/w+0fEeqswq8xctE0VaKDYClCpgh0tGHk17dCwkYIZgbaMBJqkiY5DLmCxF6hH5fvO5nZqM9tGxYd+ICLTXMMM3y9RYxOKJFRBTImhR2hZthTSlCKrWZyKdHeJmXbnHLgts3dRwilYDi+hYsPuge+ldB4AJ1u0L0VU6x0icz3zWqNqTpStOtjmeGG1HBTZrgpw2aJyArzvwRGQi1xUgxtUeelujl42fd+VLLmsYC8NZ45rcWbjylxGMxDFKMuV+Eu6n6EAvltQdWmTC4/ZnHja4xETBX7PhS0PZrMXhfO7Ehv0eftOMZGLkn14yrtmOIHYSTR7WxL9CFulz8jsFrBIoXfMzZ6/MYtLN/CpkS4Bcagr3s8Lk3sHZkflFORXIUK919Q4nNSZJZY7LgPFf+Ikb9M9r2b4HY7NfCCSvDVtbH/d/fub+7e/T0RI/EVkSdhQ6mv8XFp618csf4dDu+HYaRSM16hmVLppmqHzM26UynsSlcPBp3Q46CFWEoTC7/BxD5TYDNVW5/y8vB3WsRIslM4K0qhE2iuwRoinVWiuy7S3uIjt0X6WxXITLtutHXHzzKLZO7uhBQHJ4k0auYayaFPmUM3BMar4g2ImxONDqf2JED2oSaKoyt28rYO+aWVkcgOVEIRJVjOgWLv4szwotE8SXYegMIgLQZykSiOHvZu4ST3pBDpVsWep1jtKG/zy8LdY6Lem+KBz4QHLOXY5WbsZGxZBSAKcQn0oACX+JzOn9fiI4KtL7E3Pi3d8WJV/0nxrtd4u07IBt6V6d5XaE8VqtfBnHA4r/UArkmUcGl8Ay7cczSzVV+6/hH+3uOs/g85mJlpuFE8/AvWkV8osYu8lj53j2AaPGJ7ilNIUWVfQR3q6B7nDm1GiCpZEhU4eJNdQimuUXTXYCeahzOgOBMaGUQimidwDgd+7IwtR8sfsaqMFnHf+zktQ+5JYqpHmIOzN6D6uoaV5lfrODuOF+3/gItN8vUzYsysQCdE6DQHu16mv8nC59XI6Jqed/Y+ECOhLwC0YUNHq9APmjUvZ9gCP2gloPJ4/P5p6NGATkt0o2vwU129uIzPcSXbARAEKDyQtC0JHSs6dF0IHVBm4KQLnZHq5gSDM3LEUnngTMteo0iYHkq36dhxjLx9EnSOP3ybZzS3HH57Q682NysV+gMCH0AuBkn7itEF5eFLas3TedueyNh7On/gk0LNBd7wLNd4g49bZcjFDUMvV7Y2BHk4+MBGtWwQsEXQcVgt5/i72byJKCCyPKT5jSLkP7iG/5Zit5VGc83QO40bmoS5DlB/8hUXP/Rig+5VeXPbqkiaE3w77QAjnyx/Orl7mqX5tAz9jIXPNCAnO7b3BsSkQvMFt4zURh23eVNElI87jXjX4OXpCeiB9u5hji4BTgwvBwdCcYTXhitghAP3TJCykdH4Qiv2nIiT5AnT0akAxDql7y7efZU/fEc4bK4wvtvWdyghOdkR0MkgEJAKAXeg0nBiiw4vr1L4+XjCdYaEzlXrz2X0/zpn6I+5Q79kG89XYE8qVq+Ojw4lkRyBXSCIqYrpeIUPLfSsMnxSjY8uFbUuq5EXV2DkOHQnIcLM5djl9QNDuanuNBh54g/sCx25+oyBqYKDd8qMc/APNPZBRe9RHm+DOwgDdrmuDc9masZZmIWHz7C0ZqF+VmSYlaBTSsSs0Jrl2rFy9EyD/rngLBHU3GgljqVofq+VNfRbtv6WHB1twN5ar3lExi0JIwNHaNSVFhqcmZ8YHknEo0FjQrIXTFZkhJDdIqgMfwe6i6uLky02ErYUOvEcQlpCqx4THHhbrn2Ts/3Foo5nSze8zd9nZfdfzz8wm2n4POfwrXr8aEOdMJxBLNCQQ8mhq9ObjlXjpjr8Q8GOJ7O6Xojreqtkz3sV/e+p9p2Vdp+R7z7a1PcUv6bF08/HnuQOyPHAv8O144IQGVmnfal1/4vMtidTap9ndo+xBz9lG/6DiX4mRM3NyPE123bmpocEMgAgBQOyJFKsUe8wRufmOhG5Q4DkAOg+JPcIe7dAOsPd0dmBRLPVnZOAnSvZKQA4J9hHNPhKnijtnS4/dKPWeKFe+wKzaW18Sqq7iwtwcgZu4Y5RLEnZxuNV+z4tVt4N9/4RIwmLnUWMXEI7qHUQ2YlwEWVarhuR9p4V7jqRUHU4ofkoV2MV2Jxa9WYhtI36PmNciE0IsXEhNib+axi5kiEViEVJ1LWqiUARBax6nRPi03x8TIWfl+05xmo/wut4hLPpBd7es2zNlTLMxNZPCLBrMvSKChmRo2PQNBLmW9pI0oaOSy4sy3YssN0ODqJXYVoAAxWnBTDhcFF7XCFILpIkTL+837DdL0Un+b3ncjcfS+l4Invzz1h7zwg1l2S4WYabpZhJhk9+iyH/WWoknGRj0NhdprcqjSbhwIfMDS+UNDya2/7zvO5PWFqzAJu9D0YSCRwERpqWdMjvwkgpgZQSxCyGqSrjCu1lUf8nIu0lHjbFxBa4+nkhZpEjYxW6y+WwrP+aFB2VYGNS6GO0PMaJftRJwjjXTNzC7UXnJ9jXOgWdV7+HsLz8GCFR6VqOnGdteiqz7Sc5m94s2XtZiM2L9dcl2JwUlprY4iL/JTBSCv2ErTC7TDdD3FpkiEnUf6lwy5sZ614u6/5IDhc1rWJkakUz5zIiLvdGLsPkdxGXTTBUIlPKgVFp9/u8LcdLul4t3n26pO8jHj4uxcxKrUmuM/8ANXIRI23ZsMsfEIIhiZmQeSlQZxkjJ+RwGWVSgk/DvGPcou7/gNf+aFHLw6wtxzl7PhQeGJfj0CLLpot+NzR++6c/qpE/qpH/yjj6d2CkRaGzVg7PNhs+LKhY5xEAnWyI/+xBSkOJ4WYpfkeGTCo2HHF381nKjbTzSZRkNByRIpNCdEGA3BRhvxDoPhfpv+Drb8nQ2Tp0orX/daay3ceXcCiFT0ezS2llY9eLDLdKsKvM1f1ujtRF9x1KACO/MXWNQdzzs3TlQ14hGa6MUBd6EIURDNyDqN7BdC9/QGMACh1QHQDFjgQLcwCF6ujs5kt1C/Urqsiq2uCTwA4u21n60Lly3Rc1xv+UaOfLjZOrH70SK94AS0FtWAiPIkSy+VjNvpcimTWeiXxfZqew96xi+CYbv8U/8qX0J7+seeZGQeNuorOF8BkiOQPXFC/m6uS6fe7xEr+SdVmdLzAHTNzDnxce/DRD/2XZkf+uPWJRbjQ4OfsSmOQIKEFljbiw67mgNLG/X7Czk5cdzZ/iEmnnFufgHkV3C3F183Ohu9gTdbQQou3tHekuNLdgUoQ4Y+/bVY9bVX1nWI2aqFSenb0Hcewu9pG8pMaHi/uucPULHGyeg8/x8GnCyHqcj02x8PkS/QJTP6taUiN71zy5euubUr2Vh1pgnudiUes07ASBpVJTlfjIavRMVjYfvjMOuUBwLGKnlW+4KcZnlci1TvS19du6OQXpUEcF3sBRTCnTJeMTxQdvigx3xLDFYwoWiSDTQs2sHJmtGPigad+j6qqSaD+oIQMQ6pSzX4x/yR/+JQcbbz/4Zvu2HRnJcUSLbACg8R1K9QLDbM3B0/xte8Kaev03vpGDTnKHZ3hDNwT6O2L9LRkyseHQmcYNXUFutFC42pAIPFYXNh9oaBFHhUL1DqJXbKNv29ulD98VHvmLWPeF2HBbfnCkbWeXuowBH+Chylr3csXg8Yr16/OzPJ2JZl/gwiVVvp3U9ysR+hse+gs+PtesP7N2LxIQnwnIPsA1PaGiX75Jm8FkeQWH0dx8HemeDLqvG8PHzcWb4eJBY7iSbcEysDvYHjCCgVcuSN1Bb3qzGT9WpcoLsuVGguW9V8MAACAASURBVBBy3PqMrZcEh38lGTZVoq81bO9JTIghjtsDMFhU1XD10Nu79E/VNa8Ji0yAdJf4UPy2yQzdn/MNXxXrf8E8eFly+EXpujWpMUSGCHAHftKw5mMC6OUB1chvYeRbqt7LEtzM0duKWuE7TnirzsrQ0Q2DwzJupCtcR3GASY/Zg2E7JjMO/a7o0OeSoYkq7HTlziN5hQ2OIAG4SgLXnsxBZorR2RLdTBkyzTVe5w5d5+pnhYY5CTKrhHZcnzRiJyJgVAwFOKTbFevS988yH/ljmf5mxdBIq+7nq7d2M/OT6PDCZQAXbnRKVX6RJCwixcE1mOwcRHGPprqFOrgH0NwD6K5eTq4uVEdYrADfH3IooHGBd1WQDCvXnuJvfzRS0OWV1Rmi+mmJ9pdM/W/LsE8Lhr4oOXSrXf9qc5U4wh7WTwPgA/xrk5qeqzt8uXnfwdzCQtd4oX12r0fN8WLNdc6hXzGHbokM5zsffaN2fWd0AM0D2JGBK6ApSY0fCJHLa3sek6xGvTK63JL2ZnaeZ/d+KtL/jo3+ioddrzv0UUOfLik90BdWUXsCwPMt3afc/WiaWOkbGejs7sJwcWe4+dPcQynuQcDd186VTqUTa1/wxsnBIYDCyLQPa/HhPsrrnep4fK6+7wVmy9rg7HgXJydoaEyLAVmtkW0/rX/o5Mmtx6YKav8U4nPXF9z1ISxbfWCf5CexQbOvvHn3z3f/4893//PPf/nDn35vG7//0+//359///s//eEPf/rj7//0h+XtP/zpj/+8Ab7nU//PH//w+6/+9MevvvrzX/7y1dJK81dfffXVX766C9ek//TVXbjxP6a/aDY9v6blmcZdp9W6S/dTI20YOS2H9o8WOTINp7P4ggiz8pFJ9cE53oFRTs+EHLslRudE+LQEN4vRcaLNb0KMfvcwiVHbmCCUnynZkvAIFcjFjim4YeNGJVHUqiTiKNVERataB38kQWeE2BxsUEQm5fiYaPAj/v53VbrLamxcoh0XoyYh1DxHhfg1GTqqgoV5E4SnDlzjIawdbTrJN3wdRUT3o4CwV+VjUyuGBcadf13R+rUUuUyVD4JJAWKWDs2IhqfZ+Dis9xi2KIanFQaLFINVgjCJAU6dV6qRixj5T+iNhLgrQMxig1VisIqQSaXGJO6+yNp3pVQ7xcVnRYYFIQGNS3WtS4Lkohr51zCSAEgbRi7e6kxSxCSGbvLTHHSOjRG2rqhVgZjKddfUyIgCHZFhVyXEkKJXl8Y1KYGXUhTi5fKQoGMSdAz2DUI/JMuSjPwgEfIb99uKmaHEp7nGG5hg9lvY2nmB8bZAf12IWaWYRQb9fu5bC7oMY/du/POKWqGrMLQagh89qQ6WFgt1FoFumjdo5vSPi3RTcj2EXslSX/E3kcmGkcvncn8d8pu/AucTCv28TGfh911l915hHxjh6cZFsNd/Sq41S3WwnPVvLWqFGLlMj7aNJYYkglUehJEmCWoWoBYBPiPVTsh6L8oHTVJkXqSZlmin5agVei/d/8SXQfr+Gz9i5I8Y+X8LIz+XIBOEGjktQ2ZF2FS59m3x+v1BMaE201Oo4aU25htuMvF51YEPBA3dLk40x8XeSPvgrMritc8oELNQZxUg8xLsjkhzSzX0CwEyx4HBraZq7RlZe29IWBjh+wq1IEqUirXvChMxlwycLazuciMv5WeQPb3LOvO7XhAMvCvYeTS/sjedvSGXuzmRvyVcvDVWsiGZ3+ibVEB0MEJzH3saxAjPoPh80erkstqQdK53eCyJTAOMlDDxIYVmQWX4QobOqbGrtZo3I4ur4VQTAAoZkB0d/Fdx1vS8JVurdfAPhD6rUSWJrU+Jhn7JOvSHsiN/ZB/8Qj40WtiwFbZSEuZAFDuSY0iKewbfJZkJ7HyBa4J7fueqNUcLdJO5wzez9L/kHvxdPXZFUreNQSeS+RwC6eFCzuaf83veKegwFlRuSOG0prA3pgl3JIl3JIm2pAk683g1WXnFBG7BAyNTGeEZnBTJOn9FfylysebQRVbzgaQstqezO8yIBnQAQqk5XfmD5sKDvy3U/4aNf8nGbrPxWbbezNaPM/WTpYbpEoOVqbeoFnsjj/aueWL11pPfwkgYWkZ0psxV4pYO/bm8TCZ0haHGg7wjXp3XWMZfifQ3qrErD+lebGxszIsPdoUH6AP86r0bXkzTm8qGLRJsXKK7JtRdFWnHpFqzRDcvR+YrtOfr+37atL46N4Po9wQ+lOz9pfh/lwz/Bxu72ml8qb6xOiHMHyp15CQQvtGv5pjqkKXd+By/QerNrCKz0OiuC8KDvxQc/A1X/7kQn5Ujn3Ron6xrrfKi2blTnCD8+G/Ia0U6t7XmZvnDnlrgCgKU9pLnkrT/VWi4yxz4LQe9LsE/aNnYKUqDXsIgsDp/9xkpckrdtUMoSPK0HRedBUpfit75mdDwXwL8C6lxrsV4qnlPr1dCGiD5As+ytKan1fuPCzcgORWbUwXtObzVJfy2Un5TEb+ugF+VxZL6hMfajIep7sEB+RUBsr1+Tcdid462Yy9vbBPlRDoQ+/ECoc1hbW+zh7+semSiYeDxiub6pEgveFTAD0Q1ejYfqxy+un34ZMv6vdn5bED2B0Eqv/b3owd+n4X/hav/Ujj0icL4uLC5PMrXEQqcIBQENiRt/ISPLhC9kRPfwsjTqt4rEnyKwEg4J5TA9YJ5AXpDik6u1zzWVl8a7+sILzlyMkjY57LmWvLBPxcc+g+RYbRm4LnydVuiEpkkkERNWB/Z9UEWMp+LzhVoTDx0XKyfkBinBMY5rvG2CL2l1s1Xo1ebsDcjM0vg2TjGkDJ7IrdO5T9yt1B/s2L4k46BI3V1ytwE21KUPwhfGyfEWc1DRTV9adKuROH6JPGGZFFnsmh1mrAhk68u4HNXpUUyHOBVDuzj3JK2xFU+nbn+563Gk/zVW70j08hOMeTQuoD2T0r1/8nEviw6+KvigwttuqMtamko9F2kAdIqENGZsv7luoc/aFi3LsPfnkpmAIYEZA2F7bqZdvAPWYc/5xjeb0IfqaiXJ3iRvCDjuQOvBre2C+XYJx27+orFjcCzDNgLXEuPZGwxcYd+x9T/kq+fbRh+q2nv7lWxrn6QwL0AiR0oM6gHT3A3agsqW3MkNbmihixxe6pofZxkQ5SoNaq4KCjag0p07pIowQExyvDC7ljFUylNJ9Sa0bXG04KmjticFJonnQw8qeQiENZp33IifXC28YD5Z9uOf5yl/p9gr393jFxyarWVsy5jJAx+hNmPOqsMmxNg8xxsTjh0UwBNhOdVMKV3TgR9Fy0yxCyHNY3mv2UsdkXa+ruWLXaWwXJZjVzWIaG/jg72g/ExK0s/w8NgkZscFnJMCHUTQpt7BzKlRM0qdEKCQnVUippUiBkW5kHzqwlimMTY5LeHCPZ2TgpwOPjfGNA39a9jJDFLXrTbWdoWolNCwwzPOMvUW7mGabHBItNPyWE7qFWCzBATYhPhrLNc0boSI/9RTq1wYm1L5uSi8DtFrJ+X6mbV+ptizQxHY+HCFn/oYQOTIe43/roaqVvsjZQSHZJLGGmGk37dtBiZFSILAuS6CF2QILMyZFoBr5ZxGXpNgl0TY9dE32+I4YPHljDSVpn8DVxclh/vuyFE5wXYLQF2m6e7yUFvcvCbPP087J7FJxW4TQq7lxW/oz3yn4iRRAqrFDKkWaIzC7VmEWIV6GYFulkJviA3zCsMMJvkATS1EiO/S4dcSZIiZEaEXxdjC0LttFBLECNmkWBWCWKBDPmDMXIlSS6lR9r2S4SaThCC5LIaCTdgeyRsuDXDuGTtrER7Q67/Qoh9LtZdVyAzCqIR9AEnfn96XD7NHzHyR4z8v4eRKs1E+aBFiszxMItC935d7xNx2dk2U2co4CVXM43TEt0F8fqh1HyuPeFiCiHTziOybL1w50kFMiHRjYk1F8U9nxR2nijpelusGWOhU2X4lAL7pLr7yejELE8qyZ1QG8guSZmVRuHe1wo2DUdlsZwIVCOQ1T2Qs43f8yFfZ5Kio9L+9+S7T9Xsf1e2/xNO70XB/rPKPUezVZsBFWoPdJKtNQ6E51W0aM/U73o2q7Tc3cneCc5qaQ4x5aztpyS6sSrDaM2Bk5zaXf7BsXASCACZYk/2CS+u3NuFfSxo3u0Y4A7odsA7lJHdXLLjY4nhS/mR/5JoxlidjySUQCNAGlGPSnNyDMnlhuULKL7hgEQFwJHkHuVZ1Jq07plidER08GaFYV6+7tGcHKYLTDYnAY+0+HJUrLnCQUwC7KIcPSPdf7Jq/4fVvZ+U930o7flA2vN2fd9zitXroE0bcWCAGpBZNyDQvJe/7x2p/rxi15NRKUW+ru6EEggA2ZMUyPVUPVZmvMM5/Bs29qkIvSFApnmYiY2PlelHywzjZYaJMoOJo59QI5cJp9b7YKQQmbJl/IrReTF6XY1Y25AL+VkseNB23iBitaP8Zxzs0/KhmXbjB7u0j4lYxTE+LoSNaAQlfXfa7nNFwybJ8MfSfc8WrHs4pfXxjI6XynZ8JDowBdVIbKRO80r73m6xLIU4J2e71M0Zvbd4D39R/9ToJvRRZkFSEOxPdAWUUlLBoxndE7WPWjagD6urSsIyCkFwJaPUULLLJMJ/wccWFPrL1bqft+7o4rKiHCnADvgAVzlIx8q6nt+iwxRqbpCXI2yqdcoGSduC110uRP6Tj/9aqR+T73tMqZRlettDJSy2vnDgfb7hfeXeocrWmgAfOtSw7VNAyFa/2lOF+yfEqLnGeKkVfZ7X1mofHg8cY0FMS8G2C3KtST7wobT3rHTvmereUy39rzf0v1bT/3JT37PNu4dTSxQwIgXQ6FHcrI4jWT1v52jNPGyhXfPynm3rVMXRtshR4CVwEQxzEdPGZy437tjDZmVEQFWeBCgJ9LLBVVsvq4xz6w9eXLP7iLyqieLiAxwjHPiaoK2TebpfKvD5GuR4Y+++7JJUBqR8d0DJo6T1FvcuCLBbMswsw8dXOLW+QVjsnFb1jkhwC0dv4eNwEgLzzLCbAvS2FLW2645u2tqZvSqAWLkIAd4NdtLXcof+wB76XIV+2LwXlah5dO8Q4JgWqj6c0n0pU2fNwcwc3cfqwdeLOg7ltR3JXP96xs5xvvZOBXajGrnSir0Rl5MP32g7bxBQ51V3snD4t7xha/PhM129g9KSxEgvwmaEnEjNH8radE7Qe1k2+In8wNvygbdUmjPyA6fl/W8q+l6q7H28vadPVSv094AOV4CeGl/9ggib5yJX24ZPCmrrwwLdnGGyTjAlozu2833uwCx36AbbMNLW91STXOEGTVaCgLOImofl7H635fEPWzraS/xIfiQASIHAo9ax/GSS7obgqRsS3Qvyde2lhatCYKEtBcauhG1M6hptHv5w9c7teaVF9vRAaK8aUrOq4wR7+Kb4ket1j13rxB5XVfHi/O297exhOKSXKqbjqNpwUaU5re59Wdn7sqz3VWnf6+Lek4K+0+IDr4vWb8sujae7UuHl55SVIDWWbHqfu39S1DtSr3u/uqsnclWIpxvdnkwmU5IYYV3+ytfSh74UPfrbNQNXXtj27PsZnN8Fu0Ap0vffWI18AEZCQRJqkogVhuRicwLDDQ6+wMcX5PiCGgZyzIjwWSk2I4dsYFEgUwpYBPs9B2yAhOkOsNx/sRlyGSbv2YDi5GI5K3w8F7eU6adh4IctlBIGe8wIoIcnjDdQIZMVugkFoUBKYSTdtAwqGCYJVEptWuikGGZjLg4iJ3PShpFCG0xiX5OkABapf13Cury9cgMGfhAT5WWMXO4NIypvZ7iYlY9PizHo8Elk/c1IkXnCvXYZIL/e4ONThBpp+gG5kcvz5ns2ljDSIjAsSPEFuXZOhd8S4wsC+A7OCGE6PLS9eTBGmon2SLMAikWLQ4iaRahZgphlum8MKZGEKdWZCRayyHRWKTJL+JXPSSE8z0gQK5GMNE6oi+Mi7NtjTISN3jPE2OiiGglfbVsL6/fCSGJtzypEr/OxT8X4Z1L8tmTojmDoFk8/R2CkSYGNKaDl7LK76cqN+7PlPw8j4RsH8XsxnlGonZTjc0Qk8azCeEOKzciITv0H0NTKI//eGInO8NF5ETovgfbIhLsVtFmGGLlspfOgjXsus+V/Ll//hHS8+OlY/imBkd8ASFurpIxoDyY+mNMi9KYI+YUY/1KIfSpFF5TItJLw3Fq2d15+tu+z8SNG/oiR/xcxcrx80CJD5/n6eaVholZ3OkfS5h8UCl1sAKBElfK6X5FteSStWOzq5gHNcmAnHwO4psdItYoDl1SoSY2eF+95Kb1yj1eqyjN3dfamnwuMU0zDjNQ4Xo+eSePU+nt52OIWKYDuH1VUVr0pnqt0ZLhRbbKOHQ24JqTXHKk2zIqwG3z4jWqSoGMq3YQEWeChd8SYtW5ohNmGAXuoCngT8AkAJZL3UMtPbqwePi9r2bMqOpyQAgFwi0xSbOFtfaqq++mKjp7YmGRnCjR3BWR7QPUmxwlkO15ai1+o3DqULmQ5+NGh86tbRCxvC2vt81U978nXP7IqR+jkDp8MFtqR7Wn+cdmVW3gtu2DdI2H4CGVVz0DfwvKsNfrynlfqdj+XVaLwcnOnUqDDDvArLdv+psJ4nau/zRm6zh22iLHpGsPtCvS6Gl8Q4beFhlvNRy5J1u+BYec2jHSITWl/QfyT3/KNU/KeV3JEja50J1cCVqCwQXGL4KzLf+gob9+70t73VH3vqPa/Ie95TdT3Gq//bT5ySaQfE+LXYOUUdq1Sd3F1z9k9W17qX/3Emi0nZXorH7WItSYJOiWAVY5wiZAow5lTY9Zm5EJ+WbmnA4lMogBaKDm+gbnxRPW+V9b2HO7YsCkxMtCD5kQC3sAuO1D5Ew5iEg5frjcc5bes9ktnOkeIXSLrA8SH2XuuyJHpSny8HnmnfeCxytWtNLozhURzjlWndbwqHni7Sf9czbqOyAC6M2yzDAGMcs+Ks1zsi6rDU20DT7R2NpWyuGTHGOCaE8EaZD10Stb3QWX/0fruQbYoL9SXQiJTASUFhG7wLX9DMnDxoUdPrt7RnZQc4+BABRQv4JrrVNxdsOUtxcC52r7nhA0tqXGJHnYM+OLFNub3fcAevlJueKthnzE5L8fFmQKzKO0T6Wmr4+qM4p1Prx54vG7rntjCEuAeA4LFbsKDpQM3BNinQmRWjC/AJVdsssowphqelB+cbDB+2Kl9sVDYBptFgb9DUmfGttPpyDhz6KbauNDU/8aO/qGGSqUPjUqBF1u4XZSUt/XJXY8cldUoosMYLrBq0wX4yKJbTxT3zcrwmw1DpuYDLzZ27QpJiIYFzqH5/jKkpOv1qv1v1m0ZlFcJQoI9iCsuHAQ1BNe8wsW/EOhvyfBJuX6CwMjLRG7k63s6jnZsPq3uGZHg0zA3Eof+cxJ0ToLcFCG3pehcPfL2hsFDTC6bQacDsi8MREnqyu56j9/9ZsP+pxtWt6fEeAOKPfDKz3voFabGVIROluAXKvBjlVt2h6XmuAWnu8S1uvGfY/XMVuCzlYMftyPHs5gCwn7ZHlATHbM253Qdl/S83Nx7eE1He1qIO83ODlACgIvQs/x4GfI5z/ip6OCCZGhSMjQhHZ4UGC2CoRnB0LjC+P5a7NGG1epIGEMOgHNm2vp3hA//usQwUzt8Vtm+MSMpGFaKQyrLcExqK+x4Rn3glHL/C2u2IhV8FRk4kUAyJWpjYPVxITKx4amRjTsOqLLik1zp8HUjhYDwpoiGI9VDJ6u6D2QUp/p60IlGbX/gLvbiHmbuHWkwvlO3t0eoFgZ5OxOts7Gxqt3c/hOSwZeq+47UdbYkhHt4OpIcSH7AvRjkb8vt+7DyiFWBXVNBQWKEjY7w9bC9ToCblcPjFXt0JeJkmocjrCBw5Sa3vMIZmBHpb1UNTa41nBJUqugO0HQItpc7ZcWy0IItHwj0pmrdJ1t3PP1Kx56PkhN/F0j9UY28tzeSEAmnZAgcctvUFiLHPJ8ANhlmVRK58DAkELUSlXiQJG1keK+BJIGL971zeQp435+uvNPm2mrDTj5mYUOFENbzwERKZE4KHXGmxdBs06xAzGrdJKFAmuG0GPoAQVcPor/OLIGLPZMrx2LfHWxrJgb6DaQkOiptRbDfdbvSl3LlNqEEEsGSBKXIIdZa5IhVBl3Xpm1HdY/qxcctBEZOrNVcHth+8u/OjYTgbZvWC9BpAfQpmVNqZxTQuJVIAYGHYWuWuD9GQldVdOpBQ0JcIbbrxHYrJVw94XQfscCiaKIuWgZPGV4qhIMRzPNcKQgTnavwZV8xTCJsQoSZiGGTkW2VyWbC/NP2VPe31b3Ha5fYqVWEzgnQ6xL0ugyblxmuiw0LxLqDhUgKHSeKWu+raNn0vXth8p+LkYTYaCM3MTIlx6xyGH4zLcMJhdCWovGDajuXP24rN2AKDjorQWGtLJFzY5bBXfxdGLl8ydkWVmyfiOWdLu0FrqqsHMsfBOJyXRAhsBRHjC7I0Nnl75YfMdJml/Nn2Kfwl/+8e/cPd+/e/a9f3z3x7I8WO//KoPjdx/ZDeyPH1INmObogwG9K9DdUiEm04adZvFaY/w4A2dk/OJkfkVLk7rWIaRDiGBmBJd15nadUOqsamazDP2auRRkBMcDRDbhFuhV3sjUXoAGM3lKBXRBuGIrPZVNIdg6EIGlv7+QbEs7whmaaJIhRTsAzMVbcrdj7Ua3xphS5wcPm2PppPmYWak183RxHd5OPWqsPmcraDwH7EDIBV0TdoGsgb2f5E3cqD4/W9j9bIqmiU4kpItXRJTg+MKU0Jq04Li7BzcGBUKbIgOwNQlmRtUaZ5mKl9lKH/lTl5j3OQYSnJ5nq4h3hH1kQkyqOjM11dXGHrAztuF2Ad4p/yVr2lucaDxzLV3YAhyVPHBKgunl7RKVHZZTGpeW4e3jboBsmggRJObvfV+I3hMhnTPROqf42B7sjwz6X6O6I0E9Z2K/L8N+ojROSzUZg50iokfbAPjWm7YT4p3fFhpmyVjQ8PpsBq+6g4yc8U7KjX0x+WJYqJF0RkSmLzpVE5vAioEAqDhdvE+87W42Pq5FrcuSaDB2p1V5s3//uvq6XB9qe7Njyphy3CpBpiRb+vYMYSRiJ2zRJJWaqRs9JOnWr0rMdbA4nNL+AGFF8Fj8tNzs6JtLJkUohewBaNmPVuvyt70sNkzL0vbbBg3x5qZObJ2xjA6nk6HXF2z+SIZZKbLJOe6FVd6qt9yc5pXJftyAHlwjvWFFoFj8qIyc0KozmSHTKORd4ZQ1kdVlE2C8U6GT1wOsdfY/Ut673dvWyA46OHun+8fKIgqbobElMapaXtzOVTAKUYBDSwGA+UrB9Qq6fqT1yoVn3jLxtdUhMKNmBDMjOwC3SJ4EdkauMzysKDg9h0HxJYBUgZTmkbynuOc8yTEoPXqvCTyke6onPTLKD3lFUMiOAEZUTnpmblp8Tl5rk5BcH3PPohXtTt31SjN5hYZ/ykZs87FOW/jM2Ns/HrUzDzVLDHTV+uWPwaJGwHcAgzRhy0p64rnNJWivTeEuFWVUDHzejp9p26fMLmB4ePtAW2NEzODE7o7gkOCLA0ZFMAnTgVeRZhrP2m0Q6WAklx01Vujea+43ylsqgUFdApTv5x4ekCqLz5HEp6aFBnjRHZ0ANBV5cZ7Yuu/sSC1vg4TMQI/FxBTqyZLEDMXLt5rfKe0akmJWDQ7EB/pWEy+7XJchNKTqrwi41YK+Xb+pLziq0cwoEpCDASPFcJQ5OESRkMhOjYz2hiSsDeOZydpyU6cwCaCd5ug07pGrke3k4QIqjZoHYnpyHzivRsfLB91oHj6vW7AmLSiZTnAFwJblEe61ihmdx4zKLoqPiXOwZgBQGnHluhbrU7dfK8M+Yxk+5B29xjbMc/TQbnynV3yg2flZouM3STzbpnq9rqw4JJKqnaZmr1rzBP/LrfP1NqeFSQ/9TPFVFWKA3GS4EuQNauHdUQWy2MD6NmZBUGB6UDkAk2UcVxH+4dNdoBT7TZry86cCLXZv2sLKzPOhUKPZT/OnBadH57LisTFdPBnxTyL7AlUUrGMzefFbQ84Eaf1uteaph2/ay4mRnGiBRHV3D4oJz2MGZ+WHpKZFRQU7wgnEDjkX2KZ2hHT9l4VcVw9BUQoJauZilFJti4zM81MpFZ4ToNdVuXaE4mUy3h42UHrLohqOlByZ5uLXCMLIOP87ksRlwIQFWy9vbB3uHCYIzG4KzauLSBaLk3L1xCR+EMP4QSORG/jurkdLF3EhbUSu8tU2UlyZ2UNmwGWYSLjWEhEhMZIkJ4rQUgcMWHL88WfzHbxDSpa1E0yYAEjudkSEzRNuAhVixI7iXYBtCX4IdBcSR3CPU3PtPIjAdlo4Q/c3faJu0hRZ89+33ONnFPRJsTLxicLJ+72FI0Sk+Ps3Dp9XoPxgjiak5NKexMb8UgSGfS/P771KuHnTiNkL4Kye+YgXB9kjiKrISV9E3XmSiZ3X5npXEPiWGq7C2AR+wdMz3pb4H3knsEWKnFJ2WILDn0HZeK6/wB5zLfUjyn42RDziSB57d3/N44nVYNn21XZDLn5q/a4+2xYv7vV/3uey/+VmwEBoyrDJY1EhhzOwPP5gf1cgf1cjvBrn/3Z/+YIxUDU4qkXkxeluEfC5FP1MPTIg2vhiaXu4Xlkxz9oExjXZUMhQi6RSvWIcQgV9pX0nXx6L+OTV2qxKbbhu+wu5AyW4+0CXDxZeSVc/XfKLQQ3dHOXqlfPAUu0MTlFrqGhhBdV6s04QL/2Q3O894pxihv3APd+/ZSnSqAplTIbMSdJbwC50S60wS3aRENylCxpWGq7wtT3tGlwKqGxVQ7MhuFPe0aDWifHxB9vC40nBasO1IWH55YHyeq3cgsHMEdvZkOyqVTLIDwJ7uZPrhawAAIABJREFU7hqa5ptWE1ZlKOk7Jxuek6GTbcMjbQeOriqWMbwDAYlEJpFI0LfHgQztNwCgOFN8Y11WSYJEvfmbT8i0I/XGS7IdT4fkSgNXpTt6ehOaLCyTJdmRiSwTAKgMkm8SPVoWwulVHRhRDFhkmuti9FMeeoeH3hEht8XILRF6m4t+yUZ/KUcmy/e+7BldDBy8AT2SHlWRtvGs9Ce/lyGTZY1I6KpiexJssHJYtAWyAyR7QKYRwwGQqcCOAigUQHEgh5SIu0404+Yq7ZgKGVUiIw2ai5373uvd/Opg20/Xdr2lwGeFyIxUMyVBp4UI/CNIrHjCJDYpclWqO1ehPS3YqE/IKwkL8WPAZEGaHcWBSjgYAZovLZTjk78rqeUliXZCZTSpdGfXDhyRKQVeHkEARMAw96jOoh0fSVBLOWqp0Y5XI5ca8PebdvyEy2kI8I+GdcFkm7MNAHRvpzBWYHF3XvtbsgM3ldhticYkGrxUZzzftudITnaWEwzXdITLClR3mI0JlxicgXMcI7ElUPlUyvoP1ehNxdACX39FjrxRO/AIq6ExODGS4UEn8mQowM6BTCWo3C6KHLLaJ6MvseZFXu8oB7Fw8Enp8NVa/DVh+6a49DgfbxhFCezsScQLSbYjAUqUd+amxDUneYYbTP11LgymXuBi10v1N1j6eS4+y9R/Vop9qUKvdWhfK1N2AfsEABIdcvXJO8dSkQWW8aYMsQjQSa5+tAJ7u2r7cA5HHhQazCAKUoklCSpwCHQM44YK9XmbLynQ60rMJEYmROiYHH23Bn1+rUabz063J8HzJ1McAZVGtoPHCGgR9tHVvrzBpM1vMJHREs0IDxknvBXHFeiVZs2FLX0fdW9exsgrUmwaYiSspyOUD2ROBtURqwQfU+g/rtW+JuscjC+QegcnUGju8HIi2ZNIFCpwotHCXUNKIsvWK3s/rNSaldpL5boTnQhW3shyJ0xsAD0DxOzI3viO2nitHP2oXvd2a/+rgvreuDS+f0CkI9V2WdpD2yHgCSjxwKfau/hw9pbLPK2Vjc5yDNd5Qze4+jkuNsPDZtnYDab+s2L8SxZ2q177evOmh/zComAnsmtZQsvLkqHPy/DbPGyqeuiCcucTefLm0OQChnc4gPk4UJ2mQjNgJ0BL8k/viJQfYm35oB6br0OmK/sutGrf24SfqFizraCoMC460gVe0mRAJpPsyIDkBjzTXRMa/dlIwtrTEt2oXPuh0nheir1bf+DJurWdufmZEeFB0EGJTJSbk6HdL8kxwCOmPKgEjW18nj3wgdQ4IYbdOvBrSgSNMy0wAR6FNYwy7Erl/kNFchaZ4QdV94CqzPaXeYOjfHRcjV1uG3yTxVW7ExjpAI+fCteISDA+iQLsYgEoB+A9F/DVv3NupNxoEhvMyxi5LA7YptcS+OVlSzOHc7hlorBtr5y8rvzRyvv/Udv3PL9Nllw+pJUby5WlP3jXy/uybfzg57nvL/7V5+RjVh5uVaOmf6AauXwkEGK/+T4u/+hv3firJ7L8pqwEiXte2wf8kyiqXAzwnL7nMX/rcdoeT6jQtosZXsm2YFLi1YAOeEtrDQ8ClXtJ8v8SRv6w1/N7/tbKt/57/srSw2yFA4tfPt/nYlv6xfu8iT9i5I8Y+b8Lit+99x+GkQrNmEpjVumIDEDtHTHyCwV6R3FgQrzlOLNWE5Ml9wxa5eobTfOOdQ5jhnJ3JTQ8V7BjRKT7VI59oURvVaLTLUMTit1HY7m1XvEpLsms8MpBJXpZjVtgQr3+mhI7Lx84zd7yZLyiyzWVTQtJcA5IcPXPYoQJAko3J615Nnf/eY5uUo5NV6DTlVqzSgvrg6S6KZl2XKW9Vq69rEBG5PgVxYGTWdXdnokCWlA2PZwXydlRuvkVmXFcfHCUP3ROaDjH3neKte5wQnGVT2i6p1+su2+0W0AczW9VQKYstxEt3Xqc1X+RjVokB2/L9HPVuKVRe1m26elEzmrnoGS3gBivwBjvwFi3wFWOAUn2YaX+zE0pbU+X7j8nxCwy46xCb1JoPpLuPcZZr49k1bhHZzECVzn5RrkFRNJ9Qym+8U6rJMGC7tSmJ3k736/DrcoBk3LQokTmJbo5aCIIE8JmJPD2hgi9rkQmKwY+zK43OCeU05PqYyuGmPsuiIduybSjkq3HEjkbaP7pNL8EWkAC3T+e4RfrGRjjHRTtGRDhERDpFhjpGhjpGhTtFpoQkNsk2f5WPT6l0k3I0AkFcq1Rc3nD3vf7HjquaX2+s+uMEp8VITMyDVzREyHwy1CGmuTIhIJwmyNEp1E5eq5yx6PS8obElDzPoDi3gGiXgBh6YIp7alVCzeHinR9xDoxJMJMcJkOcW294Xd26PTZV7hIgpYXUefOMJd0XhYhVgc6qdBYpLMIaqdd+0LH7Raa4zSsowiMwzDUo1jE4jZaojq8ZLtvxruyAqRxmUFmFg+OsgSmRfq5Od0bSujUyp9QlbJVTQJR70CrPwFRXvyz7AKFrTnfOhrc4PaOiA1NV+gUZbuHjoyL8YxnyRkX/T3jtXcmlpb5hoW5+gS6+YQy/aLp/ktOqpuDql3O7Lkl6TArNtFBjFuDT4kNWpfGTWu1RddeODGZmYFSMp3+Ul3+YZ2CoS0AiI0SZ2/KSWDMrHb4tMMxI9NNyxCzEplh6CxefFmCzfOxTHvJ5OTrehpzhNCO0cAnwEgeXv5DbZ87G59iGBaFuiqWfzzHMMo1j5caPKvc+zq1ui8/I8g2LcQtNdgwrcUxoiqp6irNnXDJ4U4HMKNFrUuSqGB0VY58o8VNtxhcFLWvjEtOjQqPcAwJpIaH0yERyUBotpT68+vGcbW9zdVckxjE+elGIjkoxsxQbV6CXmzXnCYw8QaiRp8p7LskwCxeHoQBEXjrsIyOmuGaxfkxiuKLSn68cPK3YcqREvSY0McPTP8Q7MNY9MMUltMwzpTlRqZXvP1WDjFZrzZWaSzXaU2u0j1VvWheSmuoUnEiLq/Di4Mz9H6sOj0n1F5XYxSr0ckXvWdXGh3nq9tiENC/fYDffcJfAVHqYyD52rSf3idwd0wLNdYnWJEYnRbhVqJ8RwJIl6J0hRmbE6AIfvSNEbtVq323rORRVUk0NEbqlP1S4/lQFfl2MLPCxebFxVoJelfaeEm44mFRW5R6e7hWSFBgSHxoU7x5e4Fm0qWTnKU7PhQrtZAtiqdeaywfGVciICvuovP9oXbexsm1DYnySr2+ot18Mwy+VGsh3L+7OWHuS2X1ZPGgq10+o9ZcUxnEJNlGuPdvY+9OmbVpZdWtsQrK3b5BvQKhXQAwjMNM1oSmr5Sh3/xi/74oKvVxuhJl/EmyWqGG0KHUwblCCTUmx8XL8UoP2mHjNzuA0NdWd65u1XbL7HZlmRIyMqdDxJu0FcXVPuP+qQJ94T98UT794b/8Yz8B4T7+4CJ9IjrvfFjrtgqf93WASLGr1/7fsjZQbTRKDWUaokd9UIOGc+x6MXDlRu2eCuDzXX/mYf+D2Pc//bYxc3tffj5HLT/XP2PirE+IljJz8B/ZGLp+I7XX7q8ew/Pi/c+Oed+17P9s0wXXLt/cBg+/9VMu/u1yYCu9ZxsgVO1p+5MoNm262/LuLGz9i5N/++q98Vb/P9nL+iq0UYlk5/z6/e+9jfsTIHzHyu0Huf/enfztGQqdWuXZcqbWoddNq3bRCBw3VZdgNKXpDhcwq+0ZY65/PrekvqO7LqRzMbX2KuetjzoEZHvq52PCl3PCZAltQaaeqEFOl5qJ4x8+L1mAFqw/xtr1erruqRE0KdFSNj8jQK1J8VKwfLdr/bvqGZ9Ja8KxqtLDqSGHz84Wbz5T0jTP1N7iGeRFqViGTVdqJCo1FpZuTw7AiGHdepb2m1o3LcZMCPSfcd6xww2NpLcPprU/wu8+qNCPSwcsiZEQwNMY5OMU9NCPSnmOuf6q0ESus6MlRdudV92fW6Yo3PSM58LEYmRTi81zokTYvRmZk2rly3fXywQl214nshqHcmv78ir3FVb0Fdbq0OkNiw+P5W89wB8cF+IzYOPv/2XsPMDmO61AX39O9V/J93/NTsC3Joq7t964l2zJJiAQIkERYbJjQ3ZN3F5EAI0CAIkiACZGIuzNdVd2zC5J+siX7s2RLlCiSEkkQDGImQRBhw4SeHDaCpKzEBGzu952q7t7e2YAFsAAWQOM7bPb29HQ4Vd1z/jqnzuElxVbf7EKRxfuUADps2/z0/Lu+f91KNGvJ3jnLdl0V2PL3NeLVtz9+44bXHDsiAZT3i1lvCFI8+CCgiZbwhSkwNHMBgZe/B8X9Yqtjx1tX3f7Tq9f8onLHQV6McGLES5RqFJl31+Mzl+LrVsnX3IRmrxTn3lR/w4pdNy5/+MZl269ftv26ZdtnL3949vJd1yzZXXbP4+7QMZ7EnVLCLsUFErkpeGz99jf2AEb+57qNL/klSHrnDsLbj4McgYoXx30o7kWKQHNZ26Q8J+VWyE0rtv/Cedcj16+qn1mz5buB7bNWNN649snKhw/zUp4PZ51yzIYiPI6saDhavfWXi2771+uW/PC7Nz0+e/2r5btidpyHpPc4bQuny8NxQWxdGWryP/TT61dunrtiyzXLdv/DMvm7655YtPOwA6W8csGLs65QnBejkJxPLHrE1sDeFyru+7dZt5PrVu2du3Tn3Nq9Ny5/9DtL/3Pm+oN+qb0WpwIo5ScZL4l7SKtbbuXRUR96a2nogLBx37xl911Xe/+Vvs1XebfNWUFm3vmLG/embKjNg7J+KcUFm72NaVdD2i3FFstNy9Dzrgcaym/ZWbZk58Il229YsvW6pXjWyh9x249Whzs9uOAmGT9JecWIi0QdJO6AlBZ5gXTxoY4akl6Gj9rvf/raW35w5cof3bj54PxQ/AY5XRXOOENKZTg3V87Oa8g4Hk0GwgeX1D3luFu+YcW2a1YEr7r1376z5sC87Wk3+cCL2jxi0itGPajVjVoFfMRD3l7xyJv+HT/l10ncrbvmrrjvylvuv3J13f+7kvz92p/O2/GuLdjqkWKBcNQvt7pJVICKVmaMfGbbnT9bu+H5ml2HGUZyJKOnBUnSWgZRt9TikY65pYhHitWEXqvZ/iPnnfXzlzw4f+meucsfuXL5P3/njscXbn/L35DwYsUfitWKzUtC7ywPHli86ycL14VnrkT/cPP3Z298vjJ0xNnYYm+MVMlRTk66Sbym/s3lO38hrMM31tx/Xc3Wa5dLf7fih397+7NzN7c6UTcXynpwwkenicFvPQ02ZGkv/WLaj/K+UGYpOrQS7V94z79/55YfXf+9A+6HW5ZAqHxKwBmbVLA1dPDhYi056r7vxzeuEOetILZVwfLlu65cJf/jA8/a9iU5KR0Qk8vqYovFhE9K23GsijRz8uHF+95ZUf+0685Q1fJtZYt3zl0cvmrZj+asf8MjddU2dCwmicWy4oX6C4lqKVuDY4vFwyvR6zfteEJYHVxQfU9Z7QMLluyeVfvY7Fue43fF/Y2FAFEWo0iAJDmUdeGCV8xXi5lqEWa32aU4T5q9oXeXhd5cVfeKc81P5/r/xb7umZo97/lQjEdJl5i5Sc7V3PdMpe9hbimuXNJYsZRULK2ftxzduAQFAg9v4tY+WcbHvv1Xg1d8DjDy8gxqHY2ROjqaTeeJgh7PvUFZahROfMYzRZfTO8vE13A2n+oYOZUpdkqup2QIoOTTS/RPI5DytBq61A/JvPQWRp77TnJm7TV241oYaWHkhQXFic9+ZhjpCcX8oXSNmFwsxmpQi09s8mBFkAp2sYOXPoQMzMFjNbi1JtjqRxm33O3Ex53kuEvu9sjtPikPaavEZA1JBVAkEDq2PNR6U13rcpzwQ+bqFj9ucoWaBSllC+crGtptDTmnpHiDscV1ySWo6Aq1ldflbHKXsK+NRzE/itaGYjWhlF8suFGex2AN14aSfhHiSgTU6pEOexuOcdJRnkT8DblaORMIRd0hqOdc1ZBZEM5USoozdMwnNvmCR7idb3mCh934qECaHShuEzMOXHCIOWcoLYTSXH3WTT4QpO7KUBaKA9U3OXce8u09Wo1inpDiqE/yUrsQ7rTjnBDO8FLUEWp1kRQvprxSobqx4JeTbhxziTFXsNWxu8m+J26vy1ftzjvrO9yk2xkqOoIZF0m7pYSLVpxykQgUNyZRNy1xDFn6SNKJUuV1ioPk3Y90uOWMS4x55Kzvka6quogz2OSTYy7UDNSEm12hY0LwiCt0RBCPOkJHHaiZC7XYdhzmcZzbl1ooxcoakovCcYcUWRE6cs/2V/fe+3Tw9h+t2/i8X4o7kSKARyjhoIkbIDMZwG1GwHkHbreTTofUKZA2L85wJFolNy3a87Z9x8GAmKghBUHM2lFK2Jfh9ykVKFaFMw6cBG9YfdSzJ+bam7DtSdpCuSpSqMCZSilZHk6VN6YdJO8KFdwo7hQP8eiYo761qi7qamhzSIUKlOEa2/mGIi+lBSnhDCV5VLAHs57GTr4hb0dKoDHB173L7TpYLSUcoVyV2FUtdywJRQM46Zbz1Y0Zr9jkCcW8OO8KJmulTC3UIX9dqD+ycOeRiu0Ha3ELF4o6wnmHnLWFohxq4cWj3nCMRzEomCnmPChV25D01x+r2Xusem+zZ0+zqz7C10eEUMJHcp5gxh/KVqO0T4TS0wJWOJzhILFtuxAqeEnRS7JcXdQrJQP78oKcWkRiC8OKTU44xbhDTi4kykKSqpByVSTpfSTtaYxW1b9bsfewAyerQh1Vod/wUqeb0FwhYtoVUtwoCqHF6Fh1Q6sXH3XXv+fHRwXpoE1+sxwfLBMPLwo1VeEoj2M+HPfjuFeEJPxQLF2KGN7ILRue2QoYub9m13sekrRJGU7zRkLFbCgFRyJe0uIjzW4pxcttbhStQQeXknerg4fcwQiP82V18fl1rZXhXGW4WAndMuJBEV+oxRdq9aKoILbagk2L6g+Xo6Nl6GhFOGJ7NFXekKwMZ+xyxoGiPrm1Wm5y1b3N1R9yoNYF9ZEFobSzoU2QsjxK+sM5H8l4xISPVuDTGJLWb68VUzXBWA1uCYSbnLjFBlWs2wJiMRBMVKOoG0dtUqIy3L5Ift8lF2tJzLe3xVsXryZRHr13Q+jwdbIyvzFfJeU9OFsNnvCUXU5XyKlKOV3ZmKsM5xxywr9PWRyO1NQfra6L+uuy7mBb7SO/rW3s8ONYTTjjRlmfmK4lmWqp6MaQrrJaUgKhw77drwX2vB3Yc9SzM+He3e4R82457idKLUr5xKyACm5U9FGPug8lnSRWLrdycotHPOYLRVfu61xal1oVTK0iaX8wUtNY5HDeESoE5C7frubAltdvDkZXBlPLg4klIcWFMgLK3r73qLT1mUP3StFrZ/dd8XlgyMuzbuSlh5Hn3sAd21SdqvM6JCOo9dhUpdiZqmu7/I5jYeS57e3np0dZGGlh5MQgd2E/PQuMTNWIyVrAyGa/eMSDmnms2HHeLh+3SccdcrfQ8L4gdbtIlwt3ulGbFxc8kLOq6MEFL5RfUnwk7iUJP8ksx9mVodQSlPDgGMRPYsWFFJ4k7XKmsqFQ1dDpCHe7pG4/7gqQTi9qE0JFF27zkpxPVKrFWLUYC4gJD8pyOGcjOR5D/nYvlLbKCCjhkuNCg+IMJ3g55ZazPpLyY8WDFB4nHXK6Uk5VhVM2OcE15Lhw0UbSznDG2ZCyy0oVTtlwDtKhYSgf5RazXCjrkIoV4eK8cGFhY0dZuKOSdLhIl1fu9pBOAXUIUhcnddtJh1MqUJdUwkVSrlDGhzv90nEPeZ+X33fI79vD79ul4w5y3EGrQDlRBy91O1CHQ6S1qUjKBVGIETeO6rWdY8CfkJ8845SKVbjdFu5yNHS5SLsfVFF0NLRXSgWHXOTC7U65zRlud8jtTpAOh9zuCHcsauycv68bcpbgDodcsDckFsmxsrBSFo465JYVoXfXP/zi3nufCN7+r+vu+6VPbnbgVl5s5Yhih4hTGMpnyfkgqhC1O3CnA3fZyfEqqXtBY9sNj+YWNGQcJOeT2wNSO006mBDkOC9H7ESxkWwlzoHrWCp6UNGNirwI3t0qKbsIK5VSvEpO2uSsi3R6xeMufNwuddvlD2zkQ7vUzTV0OuSCTc45wkUH3FTRKec5nONJ0U46HA3/5ZR/45Ted+/7jUPusEnt3L7jfLhbIJ3VOLcYJTwka5fb3OGcV4x5QykfavOH2mtQVzVq94p5p9xZJnXYcLZaTntxAoqQSwknBowUoCRYhAfva44XO1z4Q6/0Ow9+34M7PbjbjbsEqZ0Hf2PWg7M+MVsdAibxIcWLEjT1Q1aAUOS8gApQZwV3cqTLHe7yNnYKctYuKZVyzCbHHCRulxOVRHFAxoScgxSrGrrKH+m6sbGwMJyzNRScpJ3DHQLAc4ubxKGIeijlERUPirlRBAZuUJJDSYj8bCjYGkClDpJ2kJgTt7pw1I3ibjpP2IUUgURdUosPH7klePC+3W9u2fCrLRQja3ce8pKEXYKKADSNueKB8ldRN454ScwLobB5l9TpxdlqFPdLaSFcrGr4oHzf72zhbk7K28JtZQ3tZXKqUmqFk8KFZTy4HZInS8VKOblIbi2TWirkmD0cd8gxpwRXa5cy9nDOsS8P6XMa8lX7ipXhQmW44GjIc3IK+htJQ2JLMQn+ZFrC3UOrNngReBGrQ4oXJ51ypkrOV0Kv6OZJBy+mXAiSD1fJreXhVFm43S53eKQOr9Tlkrq5xs6KfYV5jcUbGjsXNHRWyW1OOcfTVCAV4WxlOF8lt1WEu8vCH85r+M3Cx37neOy/PA3dAdKxBLXXhIrVBAa/BJJwSVmBFAWcd5OcS2rjSCdHOgUYUim6YGPBBcUIu93ouEBynBx1k6RfLPhFBpA5v5j2QqIdxSFFquRmTmp1k5iAMh75uBu310jtNXLegxSvnOFJxoHyHGnnxJxLTPtJu1/q8kpdQvj4osbfLtz328VSbtfeN9546J+b58zr+6v/aXkjIVPr6KDWSSQguRSszPNjy07yLBZGTlJR52U3CyMvhQfcwkgLIy8sKE589tPHyA/1oNZktZisFpUAinlFGmuHojxRnCTjwG123G3DH9jIBxyY7JmAmKwRE34x40FFF0gWzFx8zIMjXs3JkPSLcQ8U9U26YUJgmidxjsScJGYnOTvucuBOWv4340UJ6szMBUKZGjFVLSp+FPMhBSIwccZOAPwEmDsAfhVqV0B2NA4yficEAsW3aP2tBEfS8GxCxeZ4lRyvkDPlUqFcylfImUo5WSUrNinlIFmOpOi3km6YmpVySPFyOb6gQZkfzi6QOyoJOFp53ClAfsuigIschrJ7DtzugMmNaRf48dI+lPeJnW7xfSf6oIq8X0m6q0iXnbQ7oCZ2liMZGt7ZBqWGcAfN7AXcSGML2QxtFh8B2b84nLeTYhVps5E2F+r0h7pdqK1KylZJOTtps5N2O+lg4sAdDtxhxx1VpGO+3DWnoWuB3GWDk6acUsQmRSrlWKUc5aTm5eI733v4wO4NP6u//Yd33v+UJ3zMRpqdqMUJGJnkCPh1PSjrgVRGeQ4XOLjNNgdpr5DabmzIX9eYmdeQrZRyHM5CykPwPSouHBWggHbSTnI2KVMlg8LdKOdGeQHnOCljk5RK3GInrZyU4HHOi9qqUbdX/JATf+tAv7Wh39hwlx3nnXKWC2c4KceRIkfaONLulAt2OeeQ2xxSl4t0e1A3j9+3Sx9WyB9WyO9zUpsPp6txMkDSglSoktqcBBLGeFHWK+YCYnsg1OEPdXvFbifuqAT9p2FEA8W8OOIBLxwE8Qo4wRO4cQ5Syrd50HGf+F8C+sCOO4HrULsAdaogb6obUnlnA9DDU7S8cN6F2l1QUw2S+TlJ1kGKdtzBQSYq6CQ8znEEepFditsk8EnaJMitGAC95W2ksFAu3tCQXxDOVElJjtDMi1CzusmFYx4x4xHTHjHpgZJmCpR3RgmIu0YJh1hwiF2c2OYSUy7IMhV1QWAkjJXQdIYKuLWlZh8+TDHyjc0bf7VlLXgjF+981wdF5lIcSbJqWAwjPTjiJkkXybvB59weQIWAmBZwtkpqWxTuXhg+zkntAZwTSK5SzpfLiQopYicRHhA040NtXqoiB0lXSrEKEq0iNDMQavWhuAce7axNylfKhYpwoVLOV8l5uwQpshxyxi4D0LqgdB/ok4kHiopnBKiJkPWgjA8CDSh1k2KlVKiU2ujjkHXAjbTapWZbOGKTU3a56CQwpuCCXLWF8nChPNxZKR23yV1OGI9IO6SEXU7b5IIDgLDDQbpt0odl4d/dGP79wvBvHHK3BxdrxPRiMVUjpr0kw0kZJxU7XHObQyqCz5kUedzmhOe9w4GLDojThlnNDillk+M8+FSLAYhlTQegcEDShRNOqO3XKpBjAtSWoy9MqWAnBQfJ8SQDxQtQ3A09MO2AZwcedieGmZ9OXKyQ2uY0HL+u8X0XTmza/fKLDzzaMm9B719TjLS8kRZGnhcyOYVdbmHkdGgF/RosjDxFd9UVNa13szDSwsiJQe7Cfno2GBkQoaiy11RslpazSrhQFixm1MGhDg/KVYtKrRitFmNelBAAhDIc5CqMCqQZHG40czVNBxr14hZawRVym9GyTFBviSNZB+5wAkJkBJgrGPEhBQz3UDYgQnCsDzAgATO7RK3QtIBTXhyBzBlguSoeSOfOKgbHaBHgCGXUFE0eE+NJzCbFK6VMhVSskAoVUq5SStukhB3MuKyTpJwkTjOxpzzUX8qTqEOKOUgSzD7UBk5I3EbhKs/jvAsXPGLRLUKlYvqCYvm6Ui5cEGhFPg51c6iD7g+MypMEvdMkTegNXiwXJHhnxZzZ7B7th4Amck/xoL2sk+Q4cJPmXajIQyG0tBOKBxR0xityuMhT4cC0LZZL7Qvl9kqSp2eM8NJcggg3AAAgAElEQVQxp9Ril2I2KcaT1uXie+t2vLxz41N7b//RmvufdYdbq0jEgWJOkrLjNEegVDKrm0XxPs1D1hNIymKTMmVyZl44s1DOVkpwGYKWBB6uHMpOknwVabNLCafUJJAInfWTEXCKJzFOaqLZX466gO2zAlWdF3V5xQ/d6AMedzvBsi9wUo6XMm6S9uG0D+W8qMBLaVs44ZBTAsn7cMGP8h7czpFuB3nfQY67SN4PwZyKh6QEKesEJ1KOpoiHcERAfdQhoC632O0Viz7Iwp0QIIyTueBoDWfoLdAQHCBfVgB/Y74m1MbjtkVg7ufd4EvPsBoBbpTxAthkfDBYkPWInYL4G7fY4UXQsjYpVSVBmXEOWqrggszGeY5knCRplwAg7SDAFUYtcY4kAG+kpIMkndA3YkCAuNWDFTp3MQPV1MWUW0y6xbgbxVwo4kIxQcwKYocbUl4plDOhSjaPab03knARCFL16Bh5/+5SjHRK4AP0ogTMgIVwgKgXMDIhkJyLFD243Yvb3CjH45yd5O0SUJkLpoMmPTAQk+CI4sQxJ4rzwKLZapSvDuUDIdASjxMcifM45kXwBqgWEz4YS8oJCAYjnISSGK0AB0MkBMpX8gR+0PWJmlDg3QUjRGknSXMEMt57UdYNRwBaoyNHWRuMoYBWBRh8AU++iygOOWeTOl0kX4OSHpx0ShkIw0ZdPtTux1kvUWi4eMqNi17U5kNFLyp6gH67OfKBk3Q5pYIgpT0kHsDxGqT4IVt7RiAJTopVyumycNFO8i64EkiC5cS5KikHbS0pHJSLizlJwk5SPE57IYBfCaC4ByU5DK8UB7BiNICOeXALB4NlCZ7ADToIPFY00RHUDnSD6lJVUrZSKrhQviaU9Yg5G8lf39Axp7HDgyNbdh146f6GY9fN6flfX7CCWi1v5HSxgy2MnE5kYmHkdHkuzqZXWBhpYeSFBcWJz342GEljtMBPBVYsLCHvNFR7ps4EL7WwqR8yXi3GfCjmwmAzOcBQVjhC52tBFpmUE3JFJjgS8eBmL1jMcReUWYIyWoAcYCwWeJKlxBXjSdQNUanMP5ah0W4paqula0LpWpgkCQXAIFUPOlwNJBmnbiIY5hegGnCEOgHiFHgSXpg2FneQhI1kbaRABUxScNmBkzAHzlUpSe3jhJ/WhQ6Iil+ThA+i1MArBX4DSM6Zc2PNN+UXE17wkSa0WwZLMUMhs90DNRWgoDSlbuogJeAjZRCux2GZM0QwKksIYHEy/xK4NXgSd0CiDoVWCzPnGGf1pbTixkCeYOnmBfDQtrrJMUE6ykktTinmkBSBxJaHmtbueOPhjc/uuf2nq+97wS0nqkjCISaBVwGooKoZzQwHJxU07mU1rsFWrpQyVVKWZvtMQ2EDwGA6MRXU0lFFupxAMkfcpJkmvwB6F1CLixzl0SEBH4G4PpxxUCh14XwAIgALbnDpQOwrB8SS9eNkDVIWo2QNSruluD3cyslxD7Blyg8VYjJucDm2u3GHl2RpTh3FDbGRKQiPBP6ELsHDLM28jbQ5cDuP2qvFzNJg3I+gT3IayEFlPw9QYoHyOfQ6AacCorI4FOdJYmE4ZZMAbGgmpIQXJVgRNYapPpTziMcF8XcesdNHMbJKTlTJ0EYCUaDFqUuNjgJAgQ3ax5IOKVElKRVy3Elavbi5RmyuEVu9SKG0meKodxQCHWFuaorFdmo+SSATSLpDlwnwVcI+MUrLHQJqo4G1SReAKGVRCGod1xvJk6QP/PyKD8V9DCOluCCBQ9JF2gXSBk424JyUm6S8OOmRFLcc85CID0V8ouIVk5BMFTLPZwMoWxvK1IYyAfokuhEEyvph6CflFzM+MecTC16xqEvBJ+a84OsG/y04/2kaQlYHXh9jAhelExIXQe9ideMoZ0IyKog1AGAD2vSJULmdFm9PcCRTJRe8JLVMjNWimJcoAZRdHGpbGsotFZOLYbZnpAalasRijVioRdkalKlB6SVibmmoUI2ybpLk5LhTjgok5kWxAEr6xZQHxQTSUiUri+Scg2TpKw7GvJwkWSnHq+SoQ27lpGZeaoFOBUNCKR+K+lCrB2arpmwkbyOQTtaLlFqxyYtbORhDiXuhKaFMq5sOSfjBdQnN4cIKDOUQ0OSK+lRtCEZwFoSLNzYUqsXmHTv2v7ZRPnzV1b1sbqSVYsfyRp6NqTpV37Uwcqo0ORXHsTDSwsiJEeD8fDqkqoOq2k8FkHAA1oY+VtVeVVU/+b367H/89qqvqt/5YtfMb7wXcA62RE6q6h9UtYd+YVBVLYw8P+10Zmc5M4z0hKI+SCsKY+1g/6EMjzK8mHFR944HrKK4V1R8YHsl/LCiuGmyFnBckISTOjFoJV4oxuuEJB8JpxR1kxaIpgNfHMNIRiNAMpQqFcqBCv1iRoC4QSZZZn4FxHQNdZDCiD6GYus+1EJTjCYhLg48nAmexASauJJWyQMPjIuO+jupi89JY2JplGmap0F0gJHgM4SQPx9KBMQkE2qtxikrQn5IB5S2yzrAcZf2iakAvWuKkRCa6NBuGery+cScH2V8KOkFJxjkYnWxDCgk6gJfCty7XsnWIEkIaqXeSC2DPY3XjfEkAqUsSJT+OW4yQprWLu1BaUi4Cv7eZhdE00VpW8BMreWhlrU73n54w/49tz+++r6XPVKmCqcdEMSYEUQoNE3HBSg1wbWB744Jjf8EHwtlHijMIFCApGHJMDnQSaNqeQCDZtqyCQ+4KxNuMeLBLS50zIVboGNovk34OoxN0NwnzO/KU4j14WQ1itcipYY6hDm465gbg5eJVhpP0tmwOS/weYbxOeS2hYhi6teijMETiFK2kbyDgN84IKaWhAyMBK8a7WPgioTiMTA6AJX9BJLwoVi1GOUhLYpipzGo1HEHCjF+6EG94I3scInve8U2L2QNTdhhxARis10kRlPXgM+Z9S6ImKX9ioPOTzFS0jBycajFB/GoWboPtDsFSP3XEJ44mDrohQy6Meo5hBnFHnjEWMB2mge/NMRUQ4JW6PDQ511Sq5ccuTn47sbdb7Gg1js37K+hcyMdUlogaXhaNYyEw3pInGZ7grEPHpyoWR4cg6BwiE2F8YuYG0f9KAoPOA0EYMWWWZh6tf4kAtyyhhDBkQjR0eA1zftg0mCeUmWWYSQtzG7UaNA6Px1RSvIwnASECYMUMD4FV+sD9ynsxmp6exAER9BAd0h3DCHoJO3BCZoGLOZD8QBKLQ7lFofSi8VErRivQbEa2D9XLWarUaoaJWqQskRMLgslaTcDv6JDigHpgVoAI70IMhvD7Fao6aLVq+fB1anYpJhdijilCA8BqxGeJGnXTbE2csMIWsYBkauQPseLkjVixEsTMrmx4oehLsVDZyD7RX0cCrq6IkAEbNIvJpcGkzUh6ANl4cK8hsJisWXvw/vf3iA3XzWz38LI8Qp+6GNy474cjQfYWpkqDVgYOVWanIrjWBip/3CC5XGxiuWNtDDyzADv/HzrjDHSC+PlKWojpgSU5DVRBKQIKC6guAtygTALGH7EgeKog5GZg9Qi1B5qHvwJ4FvTM8oAR9EASKis6wJJU4cbACRDR+phg7hKhn88zrrAP6kZdvS7GqHRsr1wNDg7CyKl8ZY0eAwYww3WNsNRwBh9XWNUZu5TJxvNlgm3DOKFMFrFTX0IjA2o95LWuIMy7glq1gNmUIcqzM900VA96sAEn63ujQRLUWC+WXBNKJQhS153TA9AwpSdoAKHF5ghSiNFo15ITTSMNKPfltRCBfBgSYwouYGdzUEAYYJi5Fs7KEauue9lr5Sx4YxTpCY7+FQTNGyYRQ7DfVHnmOKlK3QuK+zJ9EYndmZoPWRW8bIgQDbLjAfUlTD6Aw0PViAHDL1sF42S5eh8QtAMKEfzRetRskk6gxHGIzw4Lmj2N+skwNisNWn0cpp2NqALmB8L4xp636PuLNZMAo0e9NFmolNkmZdVayaWcp92GNhOvd/QTA4YBAG90TNq16knn2cVF8GTSaEIiEuAGblJYDlN4Ls8dbjRZ4E9ETCMYgePKPR/qM+JYh6gIOhLzMnGroc9RKxxoRNSovNiqLdBHfgxAcdotDaUr6QCzxRlSLqUIx5ydFXw0MY9b2/a+MyWtT+7cyNkavXCMAf0dh/kswFE9AGdgvuOdlGYkQsXg9JcCPoY1Sp8RN3g0A2YV1bvA7SX0meEaZ5dPDzCNOsVXUJUqgflvJAFF8aA2Ed6w7HzGmMoEB1ND5Km7wHau+BJ1+gaajDChGr2VKZ8IggLhWURBzT1kUJ7YArCj8U0TLmkry9Yh4ACeG+wfh4QlQAd9nJBcimFoxQHPlh2RxDRAANhNIEWe7SZpxQiLOikR/gWPNHQgWl0Br02+pLJapVgAYNT0Pdo5/foPEyHPNLGFYJWabeBHgj7wExRwEi5MC/ctiQUCW4/8O694fjMawevoEGtljfS8kaOfvWf/y0WRp5/nY9/RpZWYfhlygZW2JNiC2fLpGw1VtaHmh7c9OsH73pq/feevmPTq0uxUtlYrIDgeyhQOf7BrY/OkwYsjLQw8vwA4ZmdZZIY+c63rtx6x7/M2vf7axshxY4nFKUYCX4GD05AYlXwn9AlrMchyyU4CowCvMwEHLE03k7UTGS2IHvpsSV7QtkRwHCnbJmG5Jl00hoNDoRZgk6Y8gf5XZjZbWAqM9k5cAuA+U6pIEVBEUhD81NRjKTmKbPpSzGSh0w8wJ+G3W/wsA4JjE4BD5jQEDsGJMOD4BAUSi1dBjbUYk4KWowomx7JrE8wmqlmhlVHqSxHl+BdoQwJc9goE0Y9EIJ4CoxkRrahcBZ0Sic6ptw4vjzUvHbHmzs2PLf39sfX3PeSV0rZcYqjLkEPNan9MDcMMJLOQWVgydbBH8iultI+A0hjCTPHaG4eQAWD27V4Ra1vGDsDS9AOo7U+7RWlvim9GwAZ0ruAHqXdFyVGtk51yI4D+jRa32gjGFDQSJUB5MjlcLvAdniHAz9Am4LonYEBpI6RGsbQ6FOt3WnoMvAkQ0o4wsi+ZHQq2kX162R9deSy5Fzs9536YCHElLr6YUoenWsX4yQmcYqR+jgFw8jQoY27ASM3rf3Zmo3P1+w87KVOWpgCOgIjIYuyaUQjzaMkF4JEVnoTaArRH97hB4SOm4B6zU8ie+5Khmlo4hxtvEaA0SLqqYaRlJJ2N54Io7eYnw7TTznrAxS3dBMIlM/6A7AoICvtM3S+NJ3ganwdRnbo6I/CXKACgWh21meMljJv5OjABA24TToB3VOQuEsfUqF3BFG+LLOUC1zcMNRlvHnYO4H+qU0EYENU2isCBlPYYBO4W+mAAuB0mVycF+5YGoqGth84fE84OXPWkIWRljdSewlOA6Pfwsjp0xb6lZT6JE+JkRUWRk6DR0lvPki0wMsKTxIBFL9n72t33yb+/Ae/Yhb/kDo0NBzyeWYUcB6+ZQW1ngclX7BTTDFGYoBJDscpUiYp+RiWX8mKbv3Tp5UZ3MZTM94KdYzkaIhdDtBxWChJwmxG6u0BQx+AkNdCBykHatY/zTsKqS80kmTDbToclmIkHIeZ/jo8MIMSsmIY5zLYgG4xtjPTn9EjYycP9crqSJCk8wzNAKNAUQEdzEzay7pxzsPSb0AoIwAkc0jSkF3wHTHPxnh607eDV1OXLE0ZwjDy2Nodb+zYyDDyRa+ccOAkH6IDkSK4mxhAlizZbL2xjmycIsMmDdJA04xH1zlta3YlcF9gZ8OtUTGYEHpF6W8fdSwDPeq3YJxoRF/SL0k7AiCc0YKmFb0FR7eCuUUYRgIhCDT1C/QTvblZO7LTaUhAfYPMxco8wMO9y3RqE5MAfRn+OkhABX0Y+i2cxTgXzAk0aEfb3w36hPBO6lGHOa40cVGck6KcFKFLmDerz2WF+isucnRV6NB9gJHPblr7xJqNL9TsPOKlGUHHwkgNhoHHSBqKi4Tihm7NehhxO/Q2dd1SXRk8rD+VJQ5/4096j6Xj5lSZozHSaHo29KApR9ck/Mn0D25tqkk6cEPfCdS5ykY92PiRrls69Zc6Iek0bP3ijYYzNQeNa4A3wEiBiGUeIvAhIppiJO3htGgky8xEw3HhzUP9ydrQwzA9DncGo8UBJgXtbQMDDWVy2/xwx7JQVNx+4Mg94dTVFCO/NkP92gz1L2n1yK/NOPjtK3JPH1AH1I8G1I8Hhnr7e5j09PecHOjp6e/t7e/r6e811nv7+86dzJjkoU/09fYM9vcNDg4MDQ0Oaf8GBwcHhwZVmCHTPwiza9QT8aHgPT9ZfeuPVm1+qVo8MrpuJPO3jFwOd2WjB1sr50gDFkaeI8We6WFLf0dZoI4bJybwRloYeabaHv6dnsIj6BiZtDBS/2UY/v8FgyfrxLoGJomRB7991ZjeSDozDbyRAvNGahjJPJMMIwESxpIRpv+kMRKqDlBvZA6KZIATEhI26v5JNt+M2X8QoTqMkXpULTUZIWGMgZEsVpCawqODWkeY8mYaGWEo61xhGJcscFE3T7WIOLAdNTOROhkgV80oAT/MaFLKunGWYhhEMJowMk5DChUa1jhRUKv+QjP7cKBRKBrFl4fGwEgBJmKl3VpQK/gezcIiVEcedsxWzrjBx8ii+6j1rOFQmtIj3BfDSOqoGYEEzOtlsgaZW4m9pQ0KLflKyTuc6vlsMRJcUgwjtbEGfUBhuH0ZtEB+4IQXIhV1q5W6xYa/ZQBJyYrWOaH70SBq3QFu2s18LgZL1KMOAZkUI6GYDUS0Sgwjo6MxkpMhQ++q0Hv373pn84bnNq39xZqNL9bsPOqFOXuAPSO9kTEvrReqNzEU4eA1byQoeRgjTRdpPCBjPB3abqOHaUZ7I0eT5JlgJFw51T+jXAMjjehrPVp+GNioE1IbONDuZSQ6ltzgSIZkSAlZcChDGhiZdyMQCOLVsZ+9Coy3EBuDYKo2SNjc4iz+HNJrEfBGLgi3Lw9F0DbAyPRlg5F9g5CXoRQjPQ1xIZxwy1qmVjrUNF4HKnk7WH+eEw04oJpTphrH1waP1j34fGjF9+9e9+RiMerECRtKcDL86pg7t/GKsVbOgQbGYEjjN3UijGwoDWo1Xkzn4CLPST+8lK6TJwoP9aN0b+StljfSwkid4abB/yeJkacMajVjJLgiaW30sejRgI0RGDnJR57Nv+Kh1qKGkax8H2VLOpdspFFrzENjP1vmHy99Nh01iMFhMtrANfkhRx6W4aIW7Dryo5Izmu+L+R/olrExkkbfjWZITWNgdA5HtDJvJBTGZDKMLia3lfnso9aBxHSMhEytzBu5euMLJm9kxiNCuJ0ZINk6dX5ObNwbDa2RHvPK6pcx2qOo0aa+g/HLYtiExha2wo4wcS86BUbSFpzYG6l5MrW2Zo41ipHmvqT5vmBsAtRlnk5yaobUoZT5HrUQypGdqsTuMmGk5teCNDOAkTGKkeag1mFvpFOOOqWmlaHDD+w6uGXD/k1rn5wQI+NjYKQ4PFQxMUayB8SAruGVMZ6yqcTIUZ0HuoqhLja1UvdDju5vrLdAPK0WujyqFdiNMEgeiyFZhMLwm8QFoyQ5N85DNAHSMrtqvkd4nLXBLDNGjnkLw1NqNYxsWx6K4G0Hjl5mGNk/JkbyGkbSZNyl8dDs9aGP60z25VjyrrH+nKwGXDjtoGm7q3F8XfBoPcXI9eueXBKKchZGntfuNxFAMpK0yblFUrZGmxv58gN3/eLu7z11x6ZXYG5kQ7HSNDdS+xmjv38lv3xjvrCsjVOnAWhHSJ4BxdmgctQ9e19bb2HkMEUasyanAU5drpcwGiM/nPs36tdngHxthvpnM9Qvz1C/9jkdI/8w3tzIC4KRzA/J4seok2EU+JmMyPGea/qGNCw/8CFQoS7NcezIYbN49A6TOCML13SVuCJpHpGxIjaZvWukVGGV/eLULalhJP1ROF1LaWKMTHHBpJdkShiSpmABt6SOkePRILtm7cpHaZ45Rc37jLenNhPv9CGZmT0QEDheUKveiJPCSH1nrVeM/iWlkD9MBcYtnxK3So483p9jnBGStUJUJCUlM0YynyQsWVArRMQQxREGjLwpdPj+XQc3b3h+HIykBT+gemTCS4N4h28EJfnTwcixb+RCYKRxC2M9XOZhiGG7a+I+c7YYOey71kmSbjFdZ6nRznoRW1Jv5OWIkb2DkC9+DG8kxci0X2I1ncCbbPhb9JXTfTmWNsAEbWN9ZNIAzBiBdNhSpgbH7woerX9gf2jF99eve3JpKMJjxYYUToYf6dGvM9NBLOVPiQbY6wzSwVMpeShgArpdzpYzjAw2PbhJw8jVm15ZhpWqhsIYGDnWAKrVcOdYA9COULNLigkUI+/d+9o9FkZaGDmdkLUUI4+9CRj5tZEY+fX/xoJaZz/yR4aRXqgDCdXzSlPsUD8kT+dGCpAiYjQqGFvMBtxkX5tmb6Thh9TBD+rOjTBeKdGd8hnXM0wOe0VKjzOaFcfbMrkzjsbI8Wf9MXWBrvTMnAZGQvwkmyp/RhgJKXAn8EZyoaQPikCMiGVlf9IckswxZbTmeCujW3k88hy952R7xcRNfCqQmzqMHDnbll0VnH2cwMgRfXW8HqVvN9td2jxMejp97qWOkVDOflgMjORIwh6OOeSmFaHD9+8uwci0KaiVYaQCId9kRItAUOtlhZHjt9rpY2QOfJK0NibLCmtON8Wi680e7NH9WcdII6hVw8hj94QzV89Sv/EFeGNfGnMje4dGzI0c0OdGDqgUI4fUE/FBOjfy37W5kWEW1Jr0SymagRrSIuumM6tNBBYzfeeynEXW8txpAIa1nCRjB4xU7goeCz6wX1zx/61f94sloQiH4zYUN2PkxJ1+9GMwcsvwqI8+WFBCSsafU3i/xjEvlpXh8lxGnS43JFeAml0OOb1ISoM3kmLkQ3f9Yv2wN3IURkJIPbyATPnrplCx1qHG1ACMo0N4DIm7oPw0C2p9ff2t6AlTip1BK8XOdGKqy/BaxsZIljve8EZ+/b+9860rt9z+z6MxkhEFuCLp3EjOlGJHx8hJzY0c+QMxLj9oGEkrOtJUFobzkEGgCSMnHX9Bj8lKU56tH9JcxWTCO2IDTCzgkFW9M4bLR1OWpg0dI2EmJBUzQ5rm400ucEar4gAep/jy0BhBrVxI8ZI0K5BohkmodEJnAFIbQJ/ZOPZ4wZjtaMyKNJPnmHtOzcazwEjtd3M075mhjjW0Mc+NTXszWl/DyPGZZPTBx9wyxhnNGAmebYWHuFajTEWcY/l1MJvbmbCH4w65GTBS80Y+RYNaS1LsMIxMwJRLGtM0fCPnFiPZTMLhTK26ZWiMpI8b7E19jJPsKqMfLjMqG8P3I7L7jm4OI9/vOCtGaEOGBrUaE4BZvuLh5F7G9OySPmPo3Fgpwcj5dG4k3nbg2D3h7CWFkQP9vSNT7BgYOaj2DakD6pD6mY6RN2/6dU3omF9W3HLCJynVRPGhqBdBzRyTsC36JHIU956VsPo21nJsDfhoRm8eCrZmqnFybbC17oEXQiu+/711T1aLEQdgZIyToZQTq5jE5gCYH4NR6yyF8ZhLqLhF8wQotG7y+VkCgF0kwhQynM/dgyGrOxOoC4yjdjm1UEpDwY9gy0ObXtm07qn1d/3ytk2v1+LEosZiOdFy30FFJggjoQOikx0pn+Qb2drtFBpgBgTU75JSPEkHxMT6va9/D7yRv2TwOKQOWRh5GZLbtLrlYYwcVNUTJ9Smtz6Y89eDf06T/g1j5H8fEyP9dNacByc0jEQKYCQsWcGPc+WNNLkfzS5E6o1k9vqkIku153ekN1IHUf2dabw8J1rRYz1G2/qGIThyhWIk1BbXKqeP/NRs7A6buR7MfL/m+ZDmIVEDRCd6L7ErpLPFQHUcjC0OY+Se2x/X50YmKEZCkUAzSbJRA1p0JEEx0oyCJevDVz7+3bGvjLfnRDcy8pgT7amBnHkKorlxYYB1VKIj2DJO+Q29rUsugM38NKa9mT9lc/M0n6T51JNcH+eM4KCmSZtoUCu7C31gglIly/pLCQTqsgJGSi03hY7QuZHPb1r79JoNL43K1DquNxJSnpZ4I/VnbaJHo/QehxFr9FNMOydU6dQZ0lhnfdv8XJg72+T7z+gjmL87jJF63Vrdk1xyF7qLeDRhwhZT4K6pjKpxwVCjcgwZf/RH6z/UDcBS7Jgx8tLxRp7s6+0ZMGVqHYSErYMDg0ODkKB1CCJawV76OD5Ud89PV9/y77dsenVxsLVaSvlJsobEl+HI4lBLrdhaI7ZWM0GtAdRajSLVYqRajMKSbvGjVrPQfVqrYc8xRPtUOyY7lLUcWwO1Ykut2OLBcY5k/DhzRzCx68FX6lb8YM33nvbgWJWkVOEYL4E7C8ZEtTn3WkVUVhd11DLpg93GFPqqggLKp5SYF4pinb2whASnPN1024HdfsSLI4YSfHS9KpyaL6f9OHF3MPLQQ68/tO6Z79313M2b3/ZK6RseaV8gQdFnrwjiQXkXzT2tVTFCrCo0G323llOuAS3TN/uN5EjORnI2ueAkhYCYvnvvG+tuC/7sB0/TxNXwarQKfkwrproML2YERn72qdr8zgdz/rrvyzpGfoXOjfzL/8GCWq979CNzUKsfCs0lfTjpRgkXSggoAYUQ9aWLFpE329Nnvz4S+QCEmFeNPm7aYBkzaidNdEaKnRFfPx3L+AwG6WA0ltUS1Mt7jAYhs4HLPmVRD2Z0LInVGn2QEVs0oNJsYg0jBRJfFjx258Ov79j43J7bH79jwwGPpDhwQhATXsLKVAJJaqJn9KHxtIZxP+IsZ9/KU3uEkXc9upX1apCsJuSI5eidz6CtQTmnuoZxT2T0w/H7MxuSoI+ezsMsXaVLC+WD0X+eJBxy3Cm1rgwefWDXu1s2HACM3Pjy2JlaYZQ/oVcEHW5c8xN99ndk3JqxQu/RCHAvDpwAACAASURBVO1h/dzoY2POpx39jAxf7en3IuPUbGWMVhu+6wlIkj5fbE9a1NQAyDMZNDGfka6nWabWFUFIsXPsUkqxc7Kvt3egvx+iWAEgVSpDA4MqxUgo+TEE2RR+r6i773ni9lt+vGrTG7VBpVrK+0m2liSX4+iSUGSxGK0VozViNCBGAyjqR9EAirH1AIoEKED6UCuViA+B+GH7uKJ9CiAaqaGMai3H00Ct2FwrNkO0JMl6cGGlmN286a2tK3980/rnwPElp8txwiFlnCTNYVZfNQVpr6CWaxYElwg4wcYXwFFWu1mvujveqzwhYGUqhKbeGvELMd4Zp9v2Ug24qELKGrJzwzkXSd8Zim/c9M7Gu15Y872Xlm95zxnOX/NY15xwu520CwiER21OXHSQgp3kHSRP14t2Ysk51QBo204KNlJcJLWVhTsqpA4Pyq6re2PN7cGf/vApPZSV2fDTHF6supHTvIHO6vJKMbLl4PvX/VXvl2ao36CTbb4yQ/3KDPUbnz/47au2rf7BdY9+NGvfb9w4zuZGBnA6gNN+DOPrRkZENnY+vtV7NnYe/OgYTgyj3r05cf+Znd341tmsnL7ZemaJBpjPxGxkT1almkmq+eVAk7SORXwpxcid9+03Y6QLJX2ShpFGPli2oge1Tsr/eQZqmfKvnE2zjvndM7jCMY8z+Y3jn1HrDwwdqQfSPNAAbUQTxiSccpyTWihGHtqy4YXN6365ZsOva3Ye85IsnRuZoQU/YIifju+fAiNHP++Tv5fx9hx5jwZAlmCY+c+pxcgxnqOSSzXuGtBXe45MQwC635i9/ehyYv/nGGccqQQdZSm10uc3s0huWyi33xSMEIqRl07dyJN9vX0D/QOUIhlDwhIwEup8qDSiVVXVDxPqtnt/dfMtP12x6R1/MO2R2gWpzUsK1TjjF1NeMe0R026UFqjwKM2jFI+SHGaS4HDCqUnSiUHYRzxOTiACSrpAEm6kWDKeBjwo7kFxO06XSwUnaVuMCndveXf9rY/77n1xYTh/Q7gwD2cXycVFUr6cFCpIsZIUq0ixChcrMaxXaFKogE8LlaRQRfJVJF8JUqik+9MV+MgQfc9CFew/puSrSG4qpABXe7EKaJJKrorkbaCQ/PWN7TMb2iql3M1iau2Ww+vufmXV3a/Wbj1WGS5c+U+dMxvaFkrt5aS9nHSUk45FpL1MalsoFcuk4iK6XCgVLTmXGmhbCAoHmSe33djQPk9us5P0bfVv3HZb/Y9/+CR9Kw4O0lfkWUHA+fiyhZHnQ8sX6hxjYiR4I8fCyDmPlWBkhmHkKef2lNhGZ/zn8Nj85RuiX+ozmbwyQXuGF4VOduAgpFPHyI3791JvpEtS7DjBi4pPSuvEqJUVYeGs+saLBiMnr6KLcM/h/mDybxsbYUohbffkSIw8oGNkk5dknCTLY5gHy2YbTRIjz72uGIONN7maFZIxl0Idc/3UqHa6N2J+CxmuVGNlakfQzM8sG0RbJLeVye0rgxGJYeTMWUNXXBIpdsbESOqNNGHkkNqVUDff+/zKW3++fNPBAGBkpyB1uUmnH3d4xKJLLAqoyKMih4pOXORwgcN5J847TiVOnOfGF/3TLI8yloynAQFlBJSxAfUVeVJYgrJ3bnv3tjuecG14ZZHUNl9uX4CL5XJHmdS+SOooJ51MKtiK1LkIpGMRfKpJudReIbWXgwzvb3zRWKkgnZXnQ7oqSffpCe6unBZyvBIfryRdhpaqMGjsxnD3rHBHlVS4CWVu23rs1nteX3bP6zXbjjjk7OxHC7PD2YVyrkzKl0kFho6LpPwiKQciU2Hr1vJcaaCwSKIi5xfKmbJwekE4VSnFb6t//Y7bxB/94ClKZv396kA/Lah7oRBicue1MHJyero49xoTI09+cSRGXvEF5o2c+08fM2+kD8X91BV5njHS8AZMra12unbkRbq/2SRlPGnGyF0b99cZGEkUXoz5JFapcgyGHDPo8SJVy6V02aOeCyAxwA+ScsqKyRvJMPJl6o1MOwj4pekYgZE/4rSTNk21Gkf78cx+yMmvnxOPZYmX0vzn1OrB/MwaGMm8kZcpRrYrgJGrVz95y4NvLN3dWhvK+IP5QH2xpr4Y2JML7M359+Z8e3PeuqynLuOty/jo0lOXGSlpd11Kk/qUuz7lrUv5xhdvXcpTl/LWJX11iiUTa8Bdn3DXJ2rqozfvbVq35bXV656s3fhroT7pDKaddUk+lHEGM85gjqvPc/V5ZxCWdKXgCOYdwZwjmHUEM3SZdQaznCY5rp59pcDVlwpfXxDOhxSF+tOSNqFumki7UNdOL15XVB2sOELFymDWV5+4uS5y25Z3b93wyk0bXl625a3qYJMDt1aJzVyohQ+18qEIH4oKoagrGHEFoyAhKmzdWp4rDcRcwRjVdqsQanKJR+zoiFM8tGb3S2tX4f/8/i8pmQ32qX0WRl6c8HXpXHUpRkbePT7rmyf+7xnqFaag1iu+wOpGmjGSRbRqGHmqumdTa1pZRzszDZhN0nEw8qd3bDgA3siRGMncjyXL0XPnzuyqrG+dSw2kaZo9qOzCyQmetK4KHntg53tb7n1hy9pfrdkAcyM9JG2XSjDSKJEw9a68yd3sVDEk81heqLuYgvOan9kxMTJ9eXgjh9QhSNOqqmomOvTg3Y+vv/M/1t73q1VbXlq27bWl295etvXgTVvfXbHl4PLN7yzb8s5SkLeXbXlr+Za3VmwGWV4iW95ctuUNQ5ZueWP5ljdWbB5XltOdl255femW1ywZVwNbQTnLtrx605ZXbt184K6Hntl4/5P33fuzO+9/dsWW15ZtfXPptjeXbHu7duvbtVvfqd16sGbrwWpYvlu79VDN1kPVIO9W043Gsmbrwdphebd2y6HaraVSQ78+evsF3rLlvdoth6eRbH2PKkTTdu3WQ0u2vrti6zs3b3r1jgdfWPfg/rvu+9Wd9z1950PP3rrpmRWbn71p+4GVO15YuePFlTteWrXjpZsffumWh1++ZfuvLTmvGnj45VUPv7Ryx/5Vu55dvPtXtXueXr/9Z7cGtv143xOMQgasoNZLB8cu1jspxcjWSWGkH8WrcbpanxsJZdDHzzQ4OcNxCkwu60QTa8BskloYObGuLo1PPTBvGRx3AgaMFEj05vqmh3Ye3nrvS1vXPnOnhpEp2/TCyClkSAsj1Y8Hhnr7e5j09PecHOjp6e/t7e/r6e811nv7+86dzJjkoccMatXnRg5jZCHTv0/8VXjvUyJ65mHp2a3S/q3SC9vJSzulX+8kv96BX3pYkxcfxi/sQC/sRC/uGkNe2IU02YnYbi/shJ3Hlh3ohYcxkwMPY0vG1sB2fGA7PrAL7a8XnyXBp/bV//yR+if2BZ+SQs/Wiy/sRS/twr/egV/Zjl7Zhl7Zhl/dgl/dTF7bTF7fTN6AJR5btuDXzbKZvL5plNCDjNjN/JULtP7GFjyt5PUt5DUmm+nKLvEVUfw1qn8B1z1HQs9h8RkU+iVBvyShp0n9UwT9CsvPIXk/kvdjeT+R9ksgz1tyPjVA5Oex/Hww/Mvd4Z9va/zJ5n0/Dsr/Edz22Mu/fKPvJEwkp1ms6QDbtGYQK6h1WjfPWV5cKUZSb+RnfzqGN3Lb6h8Y3kgLIy9GzJgII7e/sWvj8yODWuM+KeUjyRInpPGn5Y2c/n3AAzMeDYxMCiR2S33zpp2Ht9378ta1z94JKXaOekjSJqU4wgKYIb+ORyu5caHmvloYOTymZn5mL2dv5KDhjfzk44F0vCvT2pFUOlqTHS3JjtZER0zpjCtd8XhnLGZIRyzeHo91xGOdypgS7VR0icc6Tyn6kTtiMUvG0UC8MxbvUKLtydZipiWXa85kWwvpSFu6tSPZ2plo7VIi3fFodyzaHYuBRGLHW+LHm+PHm+LvN8dhncr7LfHxRN9fOd40SkxHMA5lrYytgWYFtiuR7nRLV7q5K93SmWrtSEbak5H2VGtbpqU929yWaW3PxDvSumTiHVQ6M3FLzqsG0kpnMtEWT2SiyXgk2RpPJNKJ3PHu/+rtGRgYgJJIZ8kA5+XrFkaeFzVfoJOUYmT00PFZ37QwcvoTwhlcodkkLfVGbn9z18YDdbf/7I4NL+hBrRZGDlvzZ6Dt6fAVhpEemB6Z4qWUQOK31Ddv3nl4O2DkcxQjj1gYOR1aarxrMD+zlyNG6nUjh6DsB62P1q8OQurWflWFgpJ9A2rP4FCPOnQSZPCEST5TBz+jf/aog6NkoEctlV51wJKz08BgrzrYC4rtO6H2fqr2fKb29ar9A9BKvf0wh6t/AGRggKYF6QcTeBD+66fLgckvhwYHhgYM6R8a6B8aGIAjWTKxBvqpsvsHhmBF7e+HdumhwhoIWmpA7RlQT/SpPX0QC8Aq7rCEoOxPa3neNDBIyx3Bq29AVXtU9SNV/a2qftI/1HNysK9fy2M9/V2R1GMKZS772Yub5t2GCk4fq2qvqqqf/F599j9+e9VX1e98sWvmN94LOAdbIidV9Q/0nmm9YL24CVTJLP13gdDJOu2wBsbEyDHnRlreyPFMvYtlu9kkNWGksjTYdKeGkT83MFIQLYy8dDDSDRiZFEjUhJH7KUYe9pCEXfNGJr1YsbyR0+pxNj+zlx1GDg0OAWfQcpGsaOQQmB39g5CZcEBV+1T1pKp+pqqfquonqvoxNbM+Grn8WFU/GVI/GdRlCPb8RB0aLZ+qQ59ZclYagLb4TB36VB38RB34RO3/RB08qQ71AsYPnIR1Joz5h05SK7FHVXuGRkjvkDqewJ7U8oRvqeoJJkPqCSbGFmtlLA2cpM+LaTl0Etqln4rWQD0wmNLfo/adBBnq1UTVV4wt1sp50ABAFpMe+qL7o6r+TlU/7lNP9MCozNDAEHsvDhv003XN8kZO15aZiuuyMHJaWY3n9GLMJqmOkSmBJJYGm0sw0oEVVyjut4JaL/IZv4Y3EjAS5kZGbqlv0r2R+2Fu5K73PBLDyLQXa3GtHhx34wuYqdUKah0evzA/s5cRRsKA8yAshjGS/tqx5ISDMLA9SEmyn8Jkn44WYCIPqScHqQyoJ6ljBbwt1LeiLZn/hX0EzkxNegfVUhkaNuMMe85aGVcDQ4YChy3sPvA/DPUNA8mQ+et9evP1DamTFeMrBoVaK5PTgFnz+vpwS/XSZupTh2h7Dfapg336Fr2ZoB0tOY8agJEyQ3r1oZMe6kQeGLxYEBJe3RZGTgWuTddjWBh5TsltWh3cbJKOwsi3dm08UH/bz2mm1pgDxylGpq25kdOqBU/3YkZj5M31TfrcyBKMTHmx4Y2MuzWSHOaZ0z31edw/48ZZXUYXk7wobmHcizQ/s5cZRtLYJeqMLI3aYn/Tn64hOhyvLVkE2IA62A8mMIuwhGXPsCNM84j1mD7to/v3U/PZvBxQh6ihBucZouuD1nJCDQyYdDhAJ7NCIDJ8RQvOG1IHh7QhADYQcKZLaJlRMiVHvpwOYjwvA3oD0S1DA+qgIUbbmXc2PrVWzqkGmM5HPzV0S+lbcboiBrsuCyOnd/uc3dVZGHke7d1xjcXzcw1mk3QkRrbcuf3t3RtfCN7289VQ8CNmJ3FXKGZ5I0vaxVwecNqum695DIwMNj0ImVpf3rq2BCNZLiUW1Bqbnhg5js7TLpj8ySRN90kae5q1cTGum59ZWMeZRXKbUTfy6D3h1OiCH1+dcfDbV+SePqAOqB8NXJyZWo3pL+NhJPvdKlmyUFfmoGRD9+YISBYHyUL62HbmkaH+Mm3WDpu7w47DEMdAVrbRWk6sgX7dR2zoUKWOY0OZU2P8ljQ8+/PsLKHL8NusUYyWMpje3MTGRvPO5h2s9XOnAabzS6J3Wxh5Kb9gWBftZ+/6zz5Vxy348Y/W3MiL0Qw1X7PZJB2Fke/s3vhikHojBTlmJzFXKOqXWJRjwsjOal653DK1UiM+JYApP63FZQrE1TEybcyNXBVsfmDX4S33vrx57f7VG35dveuwW1LsUoLTUvKeZ4xMuzGTU4+wTE7/SQEnzOLCFyrf7KnvyPxsjrdufmaZBhbJxTK5fWUwIm07cDli5JgEwTYalq5BknroXmlwqhkdzVag2W4zW2/MCGKfWsvxNDBAibGkgVhAm7HxUjamLrZ7MxrFWpnmGrjYetbo67UwcrROLp0t7PGZCCO/PEO94gvvfMvCyKmxC8ezF8/DdrNJOgoj32YYefuGA7wcs5GYS4z4pXGrfXhx4rLCSObdAoAk05gh6bUZjjgXVHOFupEeDD46XkryJKZh5AaKkRtfDux6zy3FKUaywYLziZHmOZAAumMKo+JR+k8KWBeSEIgynrhgkufYR74otpufWRdOCiS1SC4ulNtuMjDy6llDV3xB/doMkL+cof7FDJV5I5+6RL2RExh8DG9YGlfzpEkzTLKZRqO9juy77OAlP+8WQ47HjaO3T42zsaQBrD8tDVgauLg1YGHkxd1+E199KUbSupEjMrVqGHnVttU/nPvYJ7P2/cZN4j4UD+A0Ez+G5BzMJjN7Qi4KK+2yukizSTpJjLzM50YO0wvzQBKKkdN8aXKWgq9PqxuZdsopjsRXBVtYUOuWtftXA0YeckuxC4SRKd0VOSZDJt044RrpWhSAGJmYuTEukJhJ4gJhEhNI/KLCSMM3O7xC50OmeZLiYYwAMLJMLiwIF28KtkrbDhxb35C+enYpRn5txsFvfyNnYeSYPskSP2QJCI2mIIshS1R0yj9H63BiE8T61NKApYFLXQMWRl7KLVyKkaODWgEj/+Sdb129bfW/znns01n7/sulYWQmgEH84PGwMPIi8HhMiJHv7NnwYui2n99xL/NGRl1iq19KjIORyuXgjQR14RRPRfNDTnOANC5v2GsK8wYFnOFxximnOSl+c7Bl0873tq1/cduaZ9dseDGw612XFKuSEg6S8ICHWaFpWmMuCmBmx+bZr08wZDPWwZMaQw6jo8GQzP1ooOPYGMkDW8Zd5GLxRppneMI8T7c+4RPajqQdJMVRmFwoF+aHC4CRWw80rW/IXnWdesXnR3gjvzbj7b/7euap/UMD6h9PNTfyZH9vb3/fOZUZkzz6yb7evoH+ASjwMfxv9NzIyXsjmcvRSHRo9kMa3shTQhHbwfBwsi9aywk0YIS2Xsp2k3VvlgYsDZyGBiyMPA1lXXS7jsTIz9TIoeOz/9cob+T/PPitmdtW/5sJI5UAzgVQLoBzfpz1oLRHm+M0pmPhIkCsCWzcS+aj0RjpBMM0sSwYWbvtYP3Gl8htT6y5F1LsOEjUJbb4JcWEkRDuaBbPZMMFh10rJu/TdN9oeIGY7c6ctxffEqcFwMgsj7NOOc2TGK0b+d7Oe17aceczaze8GNh9SJDiFXLSJiXpNEKGkXGKkUkXRMNOraQYMZY8U4zYR046pbMcx2bIERjJkzhPFI4ovC4c/ZMtBQJ3Mf07HutvIzWQEqD50jxJ20mSon6SI+kF4cI8ipHhrQda7m7MXTVn6IrPq1+fAfKXENGqfn3Gm3//tdTTzw4Mqn+ALDtDvf09THr6e04O9PRQbuzp7z0x0DO9MLK3v2/KMfKUwDMZkrQwcgI1lnxkYeRFZwVaF2xp4BxrwMLIc6zgC3r4kRj5qRp5t3v2N0dg5FdmqFd8/p1v07mRj308p/FDH4rWiPEalK5GENfqxykvSuiS9KCxxYtSHl28KKX9qUfDlpiV1p/nQgOjjXWOJAWsLA+1rNv+dv39L6E7nrhj/XMeKcaRqLvUG3lmGGme/wYOlokEZSACkwZhTrTbxAeZok81Jx5JaxhpihQdZetP49mSGkZSh6SUduP4LfUQ1Lr9vlc3r312zcaXa/YccZGETUo5SMoNj2fSixIepNC6kSmtOYx2OfsVILoxBpVG98xTKZml0lEEnOBJktM9dSz4k/3J0e0CC+udHp1qgl5NMXK8jgSET6NzEy6cXCjn5zUUlgdbMQS17stcNXfoG38C9EgBUpsb+XffyD61f5B6Iz8aGOoBjDwJDEkx8mR/b09/H2AkbJlO3kiGkcwDyTySo72RE/xcsh8zo6CkOXdOyTpLKDpIy5lN4N40PhqE6oeWTEoDA7pWJ2gp6yNLA5YGLicNWBh5Kbf2CIz89BM1cfSDOX/92Z/OUK+gORu+MkP9ygz1m//H23/3re2r/+mGR/84P/zh8mB0eSiyGEVrcKQaRwI44kOtVCI+FPWiuBcpJkl4wTZN+mAJ9OhFKR8VRpKGWWlAprGFrXggU8jFJyV3cWH/9Jhsd+YOEqiXScBJD47eFDp8145Xdz90oO6uJ1ffd8BHojxS3GLChzPQKDjhxaUM6cVx6o1kaTCZt4fhQdI9IjemuaafUdxv1ArKeqh49RU3ypqFfeoZudG8wxSus3PRkEJwxAlYc6CNFXg53T8a6YVL+VBiVX10/e7m+zYfvOfeV2576K0le1v8KOmGuPR0QExXi6lqMRkQk34x6RPTPjE7VeIVs16U9aLM8BCSPqjEHnw3gl5U4vw0trDuOnw7KO1G2s4CznAkyxHwuBpCHbAZxpD0vFoHG9GRjGqTk+9XOOuanEAdy8kfFmVNGAkeSCpAlS4MYL+sPnlrXXJlfbxGjFZK6XkNuRqxddfOF9+699H4zBvVv/xT9c/oi/rPZ6hfnqH+2YzI//6bD574tdqrftoHBT9O9p+gYmAk0GNPfy9bTjLm9Ix3m1RQ68m+XhrUOtA/0G/GyKGh055qxwyWyfgYJ3/oyR9zMue9tPeZvFYvZcPKujdLA5YGhjVgYeSwLi69NaN1oezuxx+pReV38/720/9Lx8g/m6H++Qz1mzPe/Pv/Z+vqf7rhkY8Xhn9/UzC1PBStwS0BcswP0uTDzVRafDjixTEIfUSKRxPASB9K+mGZ8qK0D6X9dOlFYLwapiFExpqswxKD0vpzqjSgRcrhrAAGcdKHm1eE3lq358DWbc/uevC5dTvf8OIIj9Iesc2Dii4w1hUXjrqpuHDUJDEBxwX4FJwkzGFCd2ZbEppH61QhhXBftN1ZB9D6AIKNF1IAvBkSsxu5KJcerIUGsKGcgJhcHlRu2xtds6t1zY6mW3a1LK+PLw4qNaFEbSi5WJfaULJGTFKkBLacEvGL8ODT8aOEbzh4AaIYqAsU3gymwPjh1wIjSYaRxiPgRlkXgg5MuTHHESo4x1HhcU4AyQoUj+l50140Qtibh8W7Tr6b6YBnkN4YK7wGgafXe6n3NUGX2jF5cIAn3FgJiPHVexIP7Eh+b3frstAxmxS7sSHlwsce2PvCC/c91nTNAvXrX1G/NEP94gz1y5+D5Zc+l/vrv//0p++oJ9TeXvXTAfXEwAkQ5ooc6Dkx0HOiv6dH80me24mRvf19k8XInv6+/sFBM0ae8c+t4UWceOW0jj/xoaxPDQ2cllatnS0NWBq4DDRggEY/DVZQ6TSBoY9VKMWkfvJ79dn/+O1VX1W/88Wumd94L+AcbImcVNU/qGoPjQFhYSNMS8Pz5vW1y0B70/0WjdYFjPzoI7Uj+fv53xqBkX8xY/CbM179h//90JofzH6kb05jr0/s9qKMS4q7pIhbanVLgBZuHKOiMGcUdd0wtIBckR6w4VJeWAG3gBflPCjnRjmXZvAxsy8noByv24LMIuRwzsmE6CvGlum5YrrO4YufHpfKVKrpExecuMDjpBc3LQu9dmfdc/fteGbz9hdX1x904wiHCi7xAx51OXHGQWIOqcUpNTmlZgdIky4tDinilCIciXAkypEYR2I8ifKwjPNAmACZTHS8VNiKsV3ACo/prDZ9T9himtvGZrg5icLEPO3tHK0bJ6LXH3dhELZ+cS1dOO7GcQ8C8aK4DykBMbE4lFgWVJYHlWWaJJYGlSXB+JJQfHEoXhtSakOJmpBSIyrVohIQFT8TpPjOWvQIBbgeN702ujQPQ+g1PGgxDx4nDeFwkgap6kuc5iDxTMZhEjvJMGEbnRCQDLGgbEjLjRWzuGh/4/XlOepLp3nYOEeggCcTJ6zHBRzzi7E79yhbHlbu3t20RHy3PNw0Z1/UJh/6XvD5px989NC1C9Wv/4X6xc+BfOlPYPmnny/+1dUnf3JE/Uzt71U/GxjSMHIAJkaeZBgJMyRZOGv/GbsZJ/nFC4CR0/1X17o+SwOWBiwNXEYaMEDDwshLsNWN1tUxMjWMkV+F+Cj1L2b0f3PGi9/5zvo7f/J3/6T+7WPqPPnT+eEP5oWL88OFRSDFRVKxXCpWSMUK0l5BOgypJB1VpNNGumy40447HLDssuNuOz5uw+9XkeOV5HgFFbayiBwvk44v1IWtL5COz5eOz5fpkq1P5yW9zoUS3Mh0loXSh2XSB+VSm11SAujQquAr6/a+cvfut5eHmqukdDn5TSX+rJz8oUzqWBBOz2+Izm9oZTKvsVWThuj8cHwhlbKwUhZOLJIT5XKyXE6Vy+kKKV0hpZhUSqmqkVKpf8R2oF9JLZI1KZNTZXJqoUkWhFNMFoZT51qMEy2S05VSuooKvR12UxfHkl25DbKzQJJPYCrwkkGkJfjxEPjxXCgLsaZixivSZMsoLSDIx0Oz8qR5nOJwyolh2qSDpOwkZTsjsdPvmpZpG9G0WiWlK6VMhZQ1SyX9s1zKLpI1KZez5XK2TM4uHJbcQjm/gMpCOV8m5+HPsCbzw/n5sJ5bKGcrpAw79QQ9sFxKsR54ymWFrHVpWDmVnPJoo3ZIl8tpdrPlcO8Z9hw5SXp5ML12T2pFsNUuH571SMt3HovPazx2m/jyTzb9y2uzK/u+8Q31S/9D/eJ/V7/8f8Lyi19I/M13f//4MfWE2gPeSA0jGUMyjKSJds75rEjGmRZGXoJ2g3VLlgYsDVgamLQGDNCwMHLSOrt4djRal2LkH9XO9B8WfFvzRn5Vm2/T/83P7f/Ha2+96+mv/kD9yr+o33l08MpHP/nHR3975aO/oreSfAAAIABJREFUvfqR38/c97uZjb/7buPvrmn4/bUNf5jV8MdZ4T/OCn80O/zRdeGP5oQ/nit/Mlf+eK788fXyJzfIn9wgfXaDdOJ6+cRcXebIJ+bIJ64Ln5gVPnFtw4lrRsp3G05cRDKTXu01DXAj01U+o0ruubbh5OzwH+eFux0kVY2abq5vvn2v4hELc8MfzpZ750iDs+X+axv++N19x2c+kp/5SPbqRzJXPZK58tHMlY9mr3w0d9UjhZn72r67r+2afcVr9rVfu69jVmPHbJCu2Y3d1zV0zWnoZDK3ofP68AiZq380p6HzuobO2Y0gs6hc29jJ5JrGzu/qMnNf59VUZu7rPNfCTvTdfZ3XNnZd19B1fbhrLtzLRSNzG+CCr6dXfkO468Zw17xw5wK5q0zqKpe6y6XuRSDHqXRXkO5y0r1I6iqTOhdKXfPl7nly93yQrnly5zy580a584awJteHO+eevlyvf10/jqZSdp1zGrqvAwFVUznO/pzd0DXr/2fvPOCiON4+fpZETRAjIthLLAn2glRN1NiNGmNvUaOvsaSYiICK5W9QUTooKvYuit0Ye6cJKqIiIJ2jHdxRjitb583ucONyFA8EBZzx+ayzu7Ozs9+Z4/Z3zxTPQhvAR/p7ivt5ivtylspbWl9Pzvp5pvXntql9vMRFjUs2wENsUbTtFTZFjxQLjaGGWnaEa8Z8S9Y8yBsyxY9wrDT5a0VKvwtsY6nmHm/MwiPV2l08zEX8/baUwW6v+3pHfrkztt2upH5eMbO2huxZfeKixfjs9u2AUT3QvB5o8Tkw/BQ0b/Tgq76x/qEUBfIpfmwkzY+N1HgjoZ7UeCNrY6fWmvP9i0uKCWACmECtJ4CEBpaRtbCuUe3yMjIHJEflDCoqIw1FTNsG/3Q3/fm3s833A6M9YIC3or+3rNeO7F4+sp47cnt45/T0zunpldPLM6+3p7yPZ0FfD0U/d1V/d7WpOzHAjTDjjDRzo8zdKAtXysKVsXBlzV1ZM35bGHdjB7ixpm5sf/eabf348pu6c49TXY0ZwHEG/d1ZczfiG1fZGOekaU6vFjq+WrIxftKWdCs3ubkrsHAB5q5ggLuqn6e0j5e4t3diL++Ent6JPb2Te3qLe3qn9fTO6O2V2YezjL6ekn6ekv6eElMPyQCPLDOPbHP3LHN3iQVvlu4Sq6JmqTll4S4x95CYcVdx1/bn8+nHb/t6SvporLeXpLeXpBe/hfGq2/bib9SHL8MAj8JHgA9SI7ZC2tbukoFukkFuksGukqEukuEukuHOkmHOkuHOWSOcs4Y7S75zkQxxkXzrKvnGVTLIlUtsXdSs3CSW7pxZ8VtIwNxdorsJywObQZHad+dq38wj08wjg98Wxgd4ZJgWsXRTz/T+nhn9PNP7eqb38czoy8Uz+vPWj4un9fVKFVofr7S+nummHpkWmvJrNcIiu24SKzftVvomAc9koBvHB/L8hidWxnaQJjG6Ckasy7iL8DPilmXlls2Ze7YVl1XmILeMAZ4pPbYndtiZ3n6nzMwjfe6WV3tWXz7/7ez4Lh1B2zqgjUjdvhFoXZ9p3fB0z973L4XIWJDJgByGJSilmlIiPySWkbXwixw/EiaACWAC1ZUAEhpYRlbXKnqHcqHa5WWkDCS/yh3UNf9zzRQ7zfh+rW3q3e3W03bZwX6+ioHbc+ZtezXT+eU496ixnrEjPeNHeCWM9Eoa5Zk82jN1jGfGWE/J9x7Z49xl491zx7vnTXDL/4Ez+Q9uioluiomuiomuyomuqh95m+SqmqyxSa6qSZrj8CxKA0/VoC16qGob+dFV/aMrMdVFPsc5Y9nWGPvNTzdvfLptw0ubTYmzXLKnOZPTt4GpztRk17wf3dMmeMaN84r53it6rFfcWM/EsZ6pYz0yvucs/XuP9HEe6eM90n9wT5/onv6jW/pk3qa4pU1xS5vqljrVTTzNVTy9qE1zE0/V2BQ38WQ38SR38Y/u4onu4h/cxT94cDbBQzy+qI3zEH/v+Z5sHF+ASe7iKZpyogJXn8g0N3Fxm+4qnsEbjMx0Fc92Ef/kLJ7nLF6wTbxwm/j/tooXbRX/spWLLNjGHf+JtznOXMpZRW2mJjeU53TXEm5avBjoCCoPzGEG3xKmuaUgm+qWMtUteapb0lS3pCluyVPckqa4J052T5ykscnuCZPd4ye7J0xyT/jRI36iR9wPHnETOYv/sdDiJnq8nugRI7QfuCNxk92T+OaXqtUCUWFmuIpnunJPPdOFi8DdmfzBwnhRILNcOEpzXMQ/8ds5ZW6FPGfzF3I3KnoXeK+i29SZLmm8pU93TZvGAU+Z4pYy0SNxrGfi4O2Zg7fnTnXLWuMYfXbV5YDxS19275RoKIrWE71sUi9dv468/afbunY8fS0kAYAkAKQMS5FKEsvId/iWxJdiApgAJoAJVJgAEhpYRlaYYfW9ENUuYFiQJwXJkXmDusr1NDISztTaRhTVpe2RmRtsNoRtsLt6+Hffvcv3utocdVp5YrOdn6P96b9X+Tvan9lkf36T/YVN9hc32/+zxe7KFrurW+yuOhXaNSe76062151sr/HbG1ttbzjb3XSxvelqe9PN9qbbypvuvLmt5OLQ4BGPlTc9sVU2AfeVd9xX3vW2ueq74syJP/f/87v33WXeD5bsPvf70V02F7avuLf9r0feKx56rrzqZnfGedXRrasPOa0+smX1iS2rzmxZdWmL/b9O9le22F+C5mR3cZvdBRfbC262F9xXnvdYeQ6a58qzXivPeK88s92miHmvPOOlMc+VZzxsz7jbnnGzPeNqe8bF7owzb9vszmjZVrszTvbvybbac8VwtTvjaXu2epqX7Vkv27Pe/BbGC4+sPLtdYztWnvVZeXaXzVnfFWf3rji7/6+zB/86e+jPs4f/PHvkTy5y4M8z+/46s0djvn+d2b2Cs10a27nijI+Nxlac8eF3d9ic0d24y+GFaLvyzI6Vp4vaqR22ftttT3rb+nnbnvC2PeFld9xTY152x7zsjnrZHfO0O+Zhf9TD/oiH/WHejvK7R/n4IQ/7g0Jz53YPe9md3LHyLDSEZTt/BO1CSigNisAE8KwPTxJud9qc3WnDUYXbXXy8xO1OG46/0HZoqgbdvaTIue0rz0PzXnnOi2uBZzxsz7rb+Tvbn1m/+qqDwz1322tnfjv+bOGWxO8nPWjdOKSlKLG3YVxPw+xOjTK7fGpv0t7nTnA4ADEAZLEsTSop8o03Usn3bsWdWqvvtzIuGSaACWACtYgAEhpYRtaiWtU8CqpdwDAgLwskv+RkJPJGGvGrWrcSFbRrFNl/7PUhDg8GzX9l9W2k9fDH1hPDrH8MsZ4YaD3+odW4+5bf37MYe9dy9F3LkXctR921HHXHcuQdyxF3LIfftRx+x2r4batht62+u201lN9+d8dq2D3rEfcsh9+3HP7AcvhDi+EBFsMDi1qQxfAg8+HBvIWYD6+J9qi6FjvYfFSQ+ehQ8yERZgPiTHtn9uue26d7Xu9eyf36hZtZhg0YHTZgcqjZuBCLIYGWZg+s+90b2PfOwH53rAfcsR54h6vEEXydfnfHashdqyH3LAfftxz80PLbQItvgywGBVsMDLEYGGI+8JH5wFDzgY/NrR+bWQktzMwqzNwqlLdH5lYhFlbBFlZBFlaBFlYBlpw9LMkeWFrdf1/2gC9AgKVVsJV1sEVNshAL60caCzW3DjO3fmJmHW5mHTHA+sUA61em1tH9NcbtWr0ytXqpsRemVs8HcBahsWcDrMIr256ZW4WbWYSbWTzlzPypmVm42YBwc9On5qZPzE0fw61F/zCBhVr0D+V3Qy378dZXE+mv2e0balnEHvG7jy1Mn5pZPzUb+NiMQwEt1PwNIsQqxMI62NI6yJLbwkiQZjfE0jrE4o2hSx5ZWIeWaY8EV4UUyxnmX3wbaGkdyN16YJDloGDLgUEWA4MsBwZyEe7gNetRF7+ZeN9yeHR/U0kvk6yvWsb1+Dxzck9yzURi43R6oVVy78/ndTFyCnj0AIAXAGQCTkbSpJJb50NgWEZqvgPx/5gAJoAJYAJVSAAJDSwjq5Dyh8oa1S5gaZAnAckvCr2RrUWgBW8tYaSOskVbaQvL3FbtFa0bKVvpFRgbFBg3lRt/kWesn9eicY6xXo7x5zLjz2QtGslaNpK1bCht1VDaqoG01aectYb2ibS1wPhTslafylp9mtOyBMtt+Wlui0LLa/Eptkol0CC3RYP8FvULjEVqYxFtxC8Q2lxEGIkKjOvkGzXIN/o8z7hRXsv6ua1EOa1FsjYiaRuRtLVI2rqetPUn2a1RtXIVKmvFWU6r+rkt6+e2rJcHrUW9vBb18lvUk7eoJzeuq20t6ubzlteibl7LQsttWTenVXUyrmD1clvWrUGGYHIRnjAkX2BUV2FUV9m8rgqZUT1l87pKozemMKqrMC5iBcZ1K9mMYIZ1CozryAtNVGDMmbxFyZbfUlQRayXKb8VnyLU9rgXC9pbfgsNShBLf/HJb1c3l2x7conYIj3PbkppB8Xy0jry5qtwNu15Oq3q5rerltuS2XJxvjVltGmS0/Vza6lOFMfdpVbUUkdO/Bjbfh43v9nRyb/HM3gFm+hP7tNkYEnaXl5ESJCOpwhUjlVThupE6rtjxjsnwTK0f6ssd3xcTwAQwgepAAAkNLCOrQ3VUchlQ7QKaBHmZIPmF4tuvSQMRaMn7IaGSNOY1hsGnoKk+aPYJtwpIMxEwKMXgcEpDflAl7BPbnL/ciFs7pIjB48W36NqaGGnGwxE+eHMNimr1OELspRVMWHHGfHsQ1mBzQW0Kc9N6XgikjG2Jd9fK8EPtorJ9qAJU7L6o2FqRMmoBtVutSypWgDKuQvkXTyNsXcXjsAWWd2vEf/q07oUyN+bbsI55oqveJaLjvWDBSryRMf+7HvybbCwCbUVhXxvKZ5tFj/rKU08UNK7L6Sk9fl0y2fV5xH2+U2sOYClCSRFKFUkUGkWoKEJNVfkcrXjBj0r+tsbZYQKYACZQAwkgoYFlZA2svbcVGdYuDQCgCZCXAZIiqMFfs0ghwLcZKAwMRKCpRjoK30fh8ab8WbiFClN4BF1YmvgsflyYVfGz1fYIKjZ6Lxeyqk3xEqtAq9IrUO8lZvvBD9b0itMRYPHHRKqv6iJaGk+X3RL1VfGDMKviJdflFsI0whyKIyrtiPAqrXhpmQuTlZYt/J0O/pDHy0gvkSjI4ovoyQMWiUSHv++9bcFQ+80r/83OegHAq9x8BQCkWkmoVWqSVKrVKpITkNDe0c2o4+XYG/m2L2F8HhPABDCB2kwAy8jaXLsM4KZopQELaBXISwdJz9hvunL+RuhyhNsSfY/oLae0N9TiiqKpCHwhUJslJqg1B0vDUj2Pv7U2Syw2VIm1pspKe5ASn73WHERPDZ8ItYTSIkKpUzvi8EnRH73iD15aXSN0xSOlXWLA91bQukWJiYvnCY+gxE25DgKqDiK3hqK9lo0PDOr0nUi0pEvLFdNHTJgyLiw9Qw7Ao8hoggWkWk2o1QRFKgm1miR0lH+VlQzLyNr8AoGfDRPABDCBtxHAMvJthGryeW0ZmRzBfNOV67OKZKSBJq716lPGW5dQdmq9DJUtI9EbUi2IaOGq5rtID1SsnLWgvsp4hIoxqSlXoQeHBUYtobSI0JNWI+LwQVBR0XNpHYG76KwwUlpVInTFI6VdUiLk4omLZ6h1BP5dbSlK7io6Mqilj82wie0/sxCJvCdNXzps2KBevW/cvKdSqMXpmRTDqNVqFe+H5JySWEbW5O9rXHZMABPABGocASwja1yVlaPAUEYynDdSDfIzQWpkztCe8pZ12Jb88Eg4QtJIxDQXMYYippmIFhgD5aLwHajEdx3ohPyCd0WWtkVqUysHuCu8BY5/QAKodiqxDFp5ot0PHhE8I2soqn3G/VoETeAig48J+OflPvKGIrp51Rq8y5ttKbd7k4AvlY67hT+HoR+2mopY3pimIsaAM7qoccdLN1brz1cTESjNiqZkvxAxX3A5c3fnI7AArJC/ltzVzHoFkNwVRvhPh7Kt6GGP+idWDtt1YYPBp6LJLTqkBj+b28uyR5Pmlw6fyknPpmmGomk1QfBOSAqOjawsN6OO+WBvZDm+j3FSTAATwARqHYG3ysjD2b2MQPcm4j6tgyeNpp8+UwGQA4AaAIrvMMlqiLDFguYM/v+DEXgjIxkKFOSArKS46SOje7VI695M0qOZpKdhRvfm4q+aJXVpmtTZILFT04Qvm8ZzZhD/pUFip2YJHZrGtW8S114/vr1+Qnv9xHb6SYXWOLld45S2eilt9cRt9VLbvLG0Nnq8fZ7a5o2J234ubvt5StvPU9p9nlzUktp9ntQeWxUSSOmgJ+7QOKWDno6W3EEvibPGie30Etsja5zYvnFCUYvnG0Z8e/24kgyeTWzHNZuEdnz74ZsQPKJpSKhFvfdIe/1E3hLa68d3qIXGfWChtSvhSeM66Md20H/dQf91R/2YKrPXHbm7xHVoHNtBL66DXmwHvdiOeq87NhaY3mvuiN5r/mwcn0yXLcwwqX3j1Hb6qe30k9s2Tmqtl9RaL7G1XkJrvfg2nMW10Yttoxfb9o29bqtXosXyiePb6CVA4/NJLHNbmFJzozg+B7iN5e8S21Yvrl3j+HaNuYrooJ/UsUlKp6bizk3TOhukdTZI72yQ0aVZRieDzM7NJJ2bZRa1vI4G+R0NIrs3O2jdynnz7K1B+5q2Nfy1/1BAAIcf5nTXMzrpvVeSmMZQjJogufGQ/JBILCM/2BctvjEmgAlgAh8rgbJlpBRcPJjdqzno3iSlT+sgLCNrWithAYAGWAYQSpAvy7l6NvvIjtzDnvlHPPKPeOUe3iE7tEN6cLv04I7sgz7ZB3dmH9yVfXB39oFd2Yf2ZHm5SjavkzhtkGxZn7VlXfbmtdLNDrytkW5eLd28SrbZXrbZPmeTndByHeGubc6mQpNtsoUm3WyL7b0QWMnfZaV080qp50bZjk1Sr7+l2x2l3m+z7Y5csu2bpds3ZW9dk71lVfZmaGuyt6zJKjSHrC0OWU4OWU5rs5zWSQptrcRJ27K2rM3mLWvL2sL45rXZGpNyzWmtdNOHMVQMWLZauUXPyEX4KoCPqVVTmU5rC23r2sx3tXWZW3lzWpfJNYy1EicHidMa3lZLnKDB3TX87iqJk9DsJU7FzU7iVJJtsc/evCZn07qcTeulGx2kG9dI/16dzVuW4+osx9USaJtWS95qfEp4FbfV5ANzK3H7JjG6EYq8ud0ayaY1WVscsp3WZjv/T+q+WeaxJcfDKZe3PM+tee5OeR5b8z225hU1petWlevWTB/n50c8zgX53ZLE/mL/x6xe1oABt89dcXfc5vK/Lbu8d2ZlSbNlOXlyeb6ioECpUKhVSoIbJPk+DXsja9pLAS4vJoAJYAKVSaDiMpLE3sjKrIgqzIvzGLMsoBlAEKAgj1tAMi+Dt0yQlwXyZSA/F+TnAXk+kBfwpijcyqQgPRVkpIP0NC5SaGKQDi0FpCeD9CRs1Y9AIl+kRJCeCKSpICcdyNK4rU6WAXIkICcDZIpBeorGUKWLC5tBRip4q71pM6jx4Eg1IPDWiqvkBGKQUZqlgAyhJYOMpKKWCDLiS7IE/o+PGIhTQUoaSEkFSWKQwptYzIrFjMDoVDE0KlWMjE4tTMPy6eG2MAeYj45bweWMmLsRlSomxdyWTuOMhZ+CzHSQLdHVsrKAJAvIsol8aZRamg3AQX+/b7/sDgBIys1PkGQ9CXvisH7DRsfN0pxc2KmV5NQjhafYqcLvUZw1JoAJYAKYQDECJctIOQAEAEAuBRcPZfcyBt2/EPdpI/RGqgDAMrIYzGp9gGEBxbIkQxM0paZJNU2qaFJJUwqGVjCMnGHzGTaPAbkMyGGAjAFSBmSDUi0LAN7YLMCUZGwWKLRswCKTAlZWuuWUfqqMq97PqeJlywFsbs0wJheUw3IAwyOFW1YKWCkAUk1LyAJAAkAmbxkAlGYwAdxKCptKCW0J5oy3VU0AfpA1n9k3NSispvcWl/BNSLNlJQAagJGS/pjQWUDbsgGTzf2FAZkMyKS5rYQGEobfZUAGA9L5LYykskDL0liQznLJuMs1JmFAVvkN3TQT3pcFaSwQM4V3TGO5z0gm/8hZ/OdIxo8KyeG3uQCUYTn8hy4ZMCQAJ86c79K6owqA1wAkcgNKQMSLF6sd1u3w2ZWZlVWgUFIMzQJAMfR7nmUHeyOr9bc+LhwmgAlgAlVMoAQZSQJWzqtEIJeBC8ezerUG3Q3FfdoFTxrNPAlXASADQMHrTIbvMwlLWGxoJBo1WcVPgLPXjQDFj2gtACBP8x4j08gD7m0MgHTe0gAQA5AMQBL3vqJtCQBAiwcgTjeL11ySUDS3JMFdYDyZP1Kdt5BJEgApPCVxbdym8E8Ht7AZJGkaQwIA8bzFARDLv9HG8Guga21f82dj+W0cnx41GxSBTQvmjLdVTSBR8BmElQhrENbR+9zC9gBbURlb1E7KjsTzjfA1v43l/xyhZ0GN8DUA0QKDbRWe1foLJvxLVfZ9hWeFfwlL/FC85gsGM4d/6IQfsRL/hsAEYv5nmmz+z/vhY6cNmreUFz4pKWc4JfkqOtph3QbvHTvPXbgYFBKckZlJ0jS3aOR7nK8Vy0jdvn5xKkwAE8AEaieBIjKS5dWjmpeR3NdUfi64cDqrZ0fQrXVKn44hk8YwTzkZKQVAzmsSoYzk8cDc4MQuWEZWrxZD85Wr5OsuH4B8Xk/m8Vv4izj8gRxpS+jBQG6o4g4NjT+Bc26UbcgNkqVxapXh56z+p6T8Lymyj2MrdJShqoE+ybIrHZ4trcaF2eJ41RGAH2etT3E27x/Wqj7hh7RS4lr5l90eUNMqV0SrHWrtllgAdFDYMoXxchVAmBhCQ/kLIyh/Hf90wPaQw/+tVnE+RuCxfXeT5sYk/wtgNkvm0QRJc+7H5y8jB5hbmg4YcPjokaSUZIVKSdIUydAkTb+fEZJYRlavr3lcGkwAE8AE3i+BIjKS4X2MKsDmc2vWA5CfD86fyerZGXRvn9SnUwA3xc4TKCMLAEtw07ZwM7gUBm4uF5gbXXTUpCYB/v+DEkB1Q/Oz7FKALWYMxXWgKmJFjrAMyRn7kRvFstj4NgDbQ1lbimWwVU8C/Gf5Td1VeiE1+Rf5c1H+Dw6guN74JRrM+c0jaO6o05FKf16q8M9jCXev2L1olmVYwABAMmCrm2dTI2PAfy+TJD87K0VRNCNXqKZOn9m7T98tW7fGJSRwU7aSBHcJTVO8mKzqPq5YRn7Qb3V8c0wAE8AEPjCBIjKS5n2MAhmZC875cd7I7m0S+3z5YPIo4uljBf+DKAFYmleNvJDk3Y8sw+tKhv+mKyIwP/Aj4tuXTABN44oimvVBuFeXkgxWMctyNY8NEyhsD/wHH8cxgZIJvOPfCs1k0+iv1JsIzLkWNz8WcP8AwYBt7oUyklOSBEmQhIogaIYhCPLJ06c3bt5a8H+L1v/vf0q1imZoFUEQFEmzLElX+VBJLCNL/nbFRzEBTAAT+DgIvJGRLOee4haEFMhIGTh7NK9Ha2BiKO7dJmDyCPWzMDiyjpOJhV/nyMulJTze+Ck/DpI1+infvJqV8db25lSFFVTh+iPlvF11u6rCj48vxAQwgbIIvPkbo9uH/h016oe+vIyHhJT43/N4GekBvZEAAJIk+QGQpJogSIobfQIAuHP37i9Llv7v743yArmKUHOLSfIrf8Bt1XVwxTKyRn/x48JjApgAJvCOBIrISJLTkACOjWS4Tq0ycPaQqltz0K2JpLth0PhBBeHBEn54G3dX7ntOywMpVJJYRr5j1eDLMYFqTEDHnwKq8RN87EXTsQYrN9l7gK5jgSu9JGXc9x3uxY004byRHgbNuU6tnIykGZJmKIZREaRCTVA0QzNc75HHj5/MnD1r/f82ZGZlZWZn5RXISbrKlwDBMvId6hZfiglgAphAjSfwRkYy3HBHbgpWNb/lVGB+Djh3OKdLE9D1s4yezYInfiuPCErl5/OkOBXJy0iAlKRQQ+JOrTW+ZeAHwAQwAUwAE/iwBPhlPFgXN49mGhnJDZjkx0xSDKsmaYKi1SRNMdw39sPAgNUOa3z37j105MizF8+ValVVz9qKZeSHbR747pgAJoAJfFgCSEaSDGDVhdN40gWwUPJ8cNnv5Zf6ia3rhnVvdm/2aPmrsAx+kYN83mnJf5dphqZoj6bD3sgPW7P47pgAJoAJYAI1mwALAM0wrm5uhs2bC58E/mpLMYCgGIJiSJqlGIagyH/+vWLSrVvPXr2OHD+WXyCvuu6sMGcsI4WVguOYACaACXxsBMqUkWo1CLmfOu/H7DljoxdNCt1kW5AYlQtAGr/AQwE3yw7/Xfama6vQIYll5MfWlvDzYgKYACaACVQyAZqh3dzcmheVkYXf3AwgaVZFUNAhSTHM85cvps+YMeenn3z37k1MTsIyspIrA2eHCWACmAAmICAAx3Nwa0CgTq0qzi3JzxBHMyBdTIfcB08eKh8/yHkRRilyCX7dyCzOb4llpAAkjmICmAAmgAlgApVNgHmbjCQoWqkmM7Oyc/Lyol/H3Lp75/nLF9NmzDjl749lZGXXBs4PE8AEMAFMQJsA50Vk+OUECX7LQBnJsIAggFoFKDVntJrrX8NPwyPnJ3TlB/bjTq3aNPE+JoAJYAKYACZQKQRKlJEkRXPztPLeSIYFV65et1+9xmH9ut/++GPpb7+utLP7ulu3M+fOYRlZKVWAM8EEMAFMABMogwDnk4R+SdgtlUvKjePn1ndWs6yK35L8xKz8cUBzq0OyhWMjtUdFwjxwp9YygONTmAAmgAlgApjA2wkwNOPm5t68uZEw6YGDh2fNnpOeIWH4nkO/L//LetC3O3f7Hjx8eKcAioDTAAAgAElEQVTvbp9du/YfPJiYnIxlpBAajmMCmAAmgAlUJQE0ZTl/EwoAJT/pTh4ABfwMrtwqIEhucsJTOBhSK45lZFXWFM4bE8AEMAFM4CMgQNOsm5tnixat0LOeO3d+wYL/mzhx0sqVdiRFswD4nz0/asz37p7ecoVCmiPLlsny+QUksYxE0HAEE8AEMAFMoIoJFJWRNAAE34VVyWtIileNWEZWcR3g7DEBTAATwAQwAY4Ayy0Uybq4erRu2x7uAgC+Gzbip7nzQ0JCv/rKJF+u4BbnksuHjxw95LvhNAuqWjoK88czteJmiglgApgAJlAyAYG3kYULQRZ6GKHa5L7gtDyQwl3sjSyZKj6KCWACmAAmgAnoQgCuG+ns6t6uQ0cAwP2HAYeOHB0xaozjpi1X/rnavVsPhUJFkBRBUnPnLxg+cjQ3oQFFQlORBIpXUQTLSF0qEafBBDABTOAjJ6ClCcsWkFBMal3ykQPEj48JYALVnkDN/aNVc0te7RvFhy0g913Lss4urobNjZJTUn6aO/+rr002/r0pJub1yROnRgwfde/eg7t379M0c/yE37gJE2Pj45FiVGMZ+WErD98dE8AEMAFMoCQCWEaWRAUfwwQwgZpLAHXpr7mRmgsfl7x0AhRFXblypUOHjvPn/3z06PFDhw5FRkar1cTr13EnT54aPnyUtZV1eHhEpkSyaMnShb/8gmTke4hgb2Tp9YbPYAKYACaACWgT0EVAYm+kNjW8jwlgAtWdQM1Vj6jk1R0xLl9FCDAMk5WV5ebmduDAgYICbiQkw7AESanUZEpKas+efZoZGJ447gcAcNyyxdTc/D2oR3QLLCMrUqP4GkwAE6h6AuiLUfdI1RcK3+Et4yG1xkbqXnfvkhLWyrvkgK+tGAFhdRcZPIs/KJhAzSNQsQ9Btbqq5kHHJX47AZqmSZJMS0vLyclRqVUqQk1QJEkzFMPm5Rf4+OzavNnpjz/+3OLk5Obh7urujjTee4joJCPVJKHmSkxRNMUwDMuHtz83ToEJYAKYALccIQwMy0Ir3C+dDfR38QsTwuUJddqit1itV1u8+6EI0CxLVcC4BSnLYbDeGXgJy9Iao/g1L8nquQWAqvlG8vP4EoItydcCHqRV+t82fKaaE6i5jbfmlryaN4lqUDySJFUqFUEQUEMqVMoCpUKhUlEMoyLImNexGRmZ1gMHtWjZcpuLc8SLF+9BPaJb6CQjCYrEMrIaNCRcBEyg5hHQaEiWf7mn+O2bY6U8D5SRFABkeYzSaI8PpZrwfbUIUCxLVMgqUO9cayl6LzXLqqqt8eunqGv4VsWvKlrALywq57cq/gPLrS2KAyaACWACmMC7E2BZlmEYiqJIkqRoimIYgqKUapVCraIYmqAoSXY2xdB2q1dNmzHj4uXL4rQ0pPFImkLxKopgGfnuVYxzwAQwgVIJ8JKR0WhIkvdN0bxbkjtTymUVk5Ek796hy1yCQkvn4N0qJVBhGUmU8+cD+IsD1I1KllXy6lHJAkW1NV6AKXXeqjSLdwovKfGgMEFlxUu7kQKAAgDyAMjhLRcABZaRpfxNw4cxAUwAE6gIAe43eJqmKIqmaZrXkwRFkTSl5lf1UFNkgUqppsio1zHhEREZksz8AnkVKcYSs8UysiKViq/BBDABHQloZCTsYUjwPQwp3WQkXR4tAf1X0CFZpdIIZ647Abqoe7AcnsnyVD3sHUoCoGYBlI68jCyMV1MlqbOAhFKwRCFX4sHKko7CfEq7EZKRMgBkAGAZqeMfRZwME8AEMIFyEIBjIxk+cG5JfphhoYzkRx3CTqMlyryqPohlZDkqEifFBDCB8hLgZSTNq0c1y0IjUdfWUnITeiOhSKB1HkiGvZG6y7yqTgnrvSKjE3WubvjDAfRGEixQaVyRqDsr9Eyi3eoSqeHdWWF3XCUL5CzIZYGMt1zO98sWfrpL+Wjjw5gAJoAJYALlIwA7tVJch1aG90ty3siq1oc65o9lZPnqEqfGBDCBchHQyEiC15AqfkuUU0ZCZajjtCtVLY1w/uUgwFc0mvOmHBHNMFddKh1OrlM4krbC/s/3fKHu7laaIXhRXTiHEMPtQkc9d4RlyzWOVJfEaIwxhF8ItmiB4UEVlpHl+mOIE2MCmAAmUAECQhnJeSPpQtNR6VVpMiwjK1Ch+BJMABPQlUBFZSRySGLvYjlkW60cF8qyurQBzl9dYdX6/i/UvaYomqQoMjMzM5oPr15FRkdHxcfH5ubm8hOn6wJH1yZUUJAfHx8XHx8XExP96tWryMjI5OSkvLwcglAVKzDN9yKG3sgcFuSwIE/jjeSmc9f1DwROhwlgApgAJlAmAeiE5JbLYBikIauJQxLLyDKrDp/EBDCBdyPAD4OEY+TgDChq3u1D8/Ky7HdNlve66PoGXOw1F19YSwhoyUitXWG9C1aUQavLVNMI4Jbf1MlomlapVAcOHFi2bJmtre2aNQ4ODg7btm37999/pVIpnwnQMau3JQMxMTEODg6///77qlWrHBzWrrJf5enp+fjx47y8PM218M8B/JWH0Hgji8vId/urga/GBDABTAAT0BBA3khumlaaIrA3UkMG/48JYAK1mwBa54PUDIxUo9FTb3NZwFfVynS2CCUHjldPAtAxKCwby1IUTTAMBZUMy2rJY9RC4E8TNWOr+8ee+x2apn/55RcTExMnp61//bVixoyZM2fOXLBgwa1bt3XPp4yU6JP48OFDa2vrmTNnrVu7btmyZdOmTRs1avTKlSsfPXqUny9HyfisWACgjMzj/ZBwC8dGMtgZWQZtfAoTwAQwAd0JvFnwA672oZGRVdpVVffMsTdS96rEKTEBTKC8BFh+hQ+4oB/yRr51ih14FywjtfRSLd+FbkbovkaiEYDC71CpLCs8/Gl4+NOCgnyGQdIRjhhkeIXJJa0pQfcPkkQiuXPnjomJSevWrS9dunT37l1f3z0LFy5s27btjh07dM+njJQsyyqVyszMTDs7u6ZNm/7xx/J/r/x77ty5ffv2WVhYdOrU6cCBA0lJSQyjtSAklJFy3icJt0o0FTOskTJuik9hApgAJoAJvJUA92M8t1YkSfAyEnVq1V3pVWlKLCPfWoM4ASaACVSYAJKRan4KTThtpu4yUqdef5rudjhxtSOg6WWqa89SqD0oisrNzVUoFCqVCm7T09OOHj06ZMjgIUMGP34cBrMtVu9cK619MvLBgwejRo2qX79+48aNbW1t4+PjQ0ND//zzzwYNGmzbtg0AUEzdVeTTSpKkj49PmzZt6tevP3jw4EOHDr1+/TokJKR///6NGjXy8PCIj48vdiOycFlOVrNEJ6viZSS3PKymR3rZHdcrUlR8DSaACWACHw8BFgCSplT8wh5IQ8JIlepDHTPHMvLjaYr4STGB908AdmolueXg4Tp+3IvmW2dqff/lxHesEgLlkpGoBJmZmWfOnPHy8nZ1dfXx8fHw8LC1tR0zZoyIDzdv3uTlopZnDF1d2yJRUVFbt251cHD43//+d+TIkbS0tMDAwCVLltStW3fLli2VIiMJglCpVBcuXFi9evX69es9PDwCAgLS0tL++eef9u3b16tXb+vWrSXJSIr7XBcx2GWdWyBUM7sslpG1rUHi58EEMIH3SYBhWUIgI8tQdyqSUJFEGQmq4hSWke+zMeB7YQIfG4FiMhIo+UGSFPQafWw4PrbnLZdvEMKhKEosFp88edLOzu6PP/5Yu3btggULevbsaWxsDGXkrVu3oNfxI4GpVquzsrIyMjIkEolMJhOLxb6+vkOHDhWJRJ6enu8iI9FYRxUfcnNz09PTMzMzs7OzpVLp48ePbWxsGjZsaGho6ObmlpiYiNJryNOCVXzgkrAE743EMlJDCP+PCWACmMC7EYAyUk2RBEWWPTsrlpHvRhpfjQlgAtWOAJSRxBtvJJaR1a6OqrBAFZCRDMMolcrU1NQnT56EhoY+e/bs6NGjZmZm+vr6Rb2RH4ubi+EDrCSVShUUFLR48eLWrVsbGRn5+/sXl5FI7NE0Dc9SFPerTfFqRgcpioKJUZrk5OTDhw/37t27Xr16I0aMOHbsWGZmJjqridBFXZGwowEcCI29kRpI+H9MABPABN6BAMOyJE1BGVm2OxHLyHfAjC/FBDCB6kgAjo0kuIGRoIA37I2sjvVURWUql4xEqgY6Gyk+0DQdFhY2bNiwZs2aQRl548aN2u2NFHKATwpneycIIjU1dc+ePUOGDDE0NBw5cmRYWFiJMhIOLpXxgSAImubW1ylexeg4v/4klwAmk8vloaGhDg4OjRo1MjAw2Lx5c2BgoFwuL5ZDaTKSZFkSj40shgsfwAQwAUyg3ASwjCw3MnwBJoAJ1BYCGhkJFJrpHJV4bGRtqdzKeQ6kcGCkeG/nZ8+ejRw50sDA4CPxRhabyYabRIdhGJIkT58+PX/+/HHjxq1cufLo0aPp6elaMhLSk8vlwcHBDx48CA0Nzc/P16onyBmuIwLjyBUJd2NiYnbu3Dlx4sRvvvlm7dq1YWFh6enpSqVSKx8AistIuCos17UVy8hiuPABTAATwATKTQDLyHIjwxdgAphArSHAT7JC8DM6wiUBFHhsZK2p3Kp4kOIyMiIiYtSoUbXbG0lRVHZ2tlgsTk9Pz8rKSk9Pz8jIgOqOoqj09PRXr16dOnVq9OjRXbt2nTVr1kk+REVFaclIKA7z8vL8/Pw8PDz8/f1lMpmwmgiCgCMts7Oz1Wo1AIAgCIVCQVGUTCZLTk5+8eLFpk2bvvnmm169em3cuPHkyZOnTp0KDw/PzMyEIlOQW3EZqeI/3VhGCiDhKCaACWAC70AAy8h3gIcvxQQwgRpOgFcFcGEAKCML+PFUeIqdGl6v77H4UEYaGhrW4k6tWVlZe/bsWbVq1QY+LF++3M3NLSUlhSCIFy9euLm5zZgxo2/fvi1btuzSpcuoUaPmzJkzZsyYy5cva8lIuMimXC4/fvz4hg0bDh06hGQkRVEqlSowMHDbtm329vbu7u6PHz9WKBTPnz9/+PBhVlbWpUuXli5dOm3atK5du7Zu3bpPnz4///zz2LFjx40bd/To0ejoaJ1lJOeTxN7I9/gRwbfCBDCBWkug9shIOLITDqIo9nVSa+sPPxgmgAm8C4Gi3sh8bngkt0IAlpHvAvXjurbWy8jMzMzDhw87OjouX7582rRpPXv2NDAwsLa2vn//vkQiiYiI8PDwWLp06bx5837++WdbW9t169atXLnyjz/+uHPnDhrQKGwTSqXy1KlTHh4eJ0+eRDKSIIgbN24sWrSoc+fORkZGAwcOPHjwYHp6+tWrV3fu3BkdHX316tWlS5cuWrTop59+WrZs2apVq9auXbt48eIVK1b8+++/KSkpxb730UytwmU/CqdsxQt+CGsExzEBTAATqBgBLCMrxg1fhQlgArWAgGamVm7RSDkLoIxU89oSlDTrRy14ZPwIlUygVspIOAASzp0TGBg4YcKEM2fOBAYG2tjYtGrVqmHDhlOmTHn48GFGRoZMJouKinr69Onjx4+DgoKePHny7NmziIiI8PDw1NRUAABN03FxcY8ePQoNDQ0JCQkKCrp169amTZtsbGwcHR1v3LgRHBwcGhp69+7duXPndunSpV27dg0bNmzRosWuXbvS0tJOnTq1YcOG0NDQpKSkMD6EhIQ8evQoLCzsKR+eP3+elpaGxkYKxGTxTq1obCSeqbWSPwU4O0wAE/g4CfAyktZlFlY1Sair87qR2Bv5cbZg/NSYwDsQYHinBAGACoACAPIBUABAAFDCvJHvcBd8aW0mUCtlJJyHliRJgiDOnj3btWvX/1byyMjIWLVqlZGRkZWV1dWrV1NTU+VyOU3TJEkqFAqlUqlQKORyeUFBAYwTBAEHN3p7e//www/jx4+fOHHiDz/8MHLkyAEDBnTr1s3MzGzMmDGTJk2aMmXKiBEj2rdvP2DAgEWLFrVr105fX//QoUMJCQm7d+/+888/Q0NDYbYEQSg1Qa1Wq1QqtVpNkiSa+EcgIyluBmbOoAcSaUg4UyvDf8zxJ702fzbxs2ECmEBVE2ABoBgGykiSpjRGl72GZNlLg1TiWZGOeaEVS3Cn1qpuMTh/TKAWEWAAIAFQA6AUyEg1AEwtesYqeRTBy3qV5F+DMq1BMhLOD1TiFgKH1cqyrFqtRvrw6dOn3t7ez58/P3bs2JgxY7p37+7p6VlQUEBRFEEQMDeCIOCXLy0IUNoVFBTMnTv3s88+a9So0ed8aNSoUYMGDerXr9+wYcNGjRrp6ek1bty4QYMGY8eOtbe3/7//+7+OHTvOmjUrJCTk6tWry5Ytmz59emRkJFw9Et4ONQ84SazWQc1Zip86S8F3U0cakptfh2Up/FORhhL+HxPABDCBihMQykiCIqF6rCYakqBILCMrXrX4SkwAE3gbASQjFQDINd5InWQk0lEoUtq9UAIUKS1lDTpem57lHbFHRESMHj26RkyxU6KAFGowWK0sy0JHokKhCAkJuXz5cmBg4K1bt2bOnAlHRe7evfvhw4cymQx6AqFyFCo6mCecypUkSUdHxyFDhgzVhG+//bZ79+4dO3b86quvBg4cOGzYsG+//XbSpEnnz5/ft29f165dDQwMzp07J5FInJ2dzczMLCws4uPjuQ7ofNC5vpCMVGqUJOeHZFmaZfHvRDpTxAkxAUwAEyidgJaM1NH5996SYRlZetXhM5gAJvCuBGCnVtSjFXZq1VVGonfuskuBFBeKlJ0en61ZBGqHN1JLYcJRkRkZGcuXLx8wYMDIkSNXr149duzYunXrmpmZTZ48ecmSJdHR0XK5HPot4RSsFEXBuoNNnSAIeOTly5f3798PCAgIDAyEYyM3b968fPny9evX//vvv3ANySdPnuTm5l64cGHs2LFt27b9+++/r1+/vmDBgo4dO1pZWaWlpcH+sajzKmokwpKjg3wEzsBcwPskoZLk/JD8yGfcl7UoKryHCWACmEBFCaBOre9NHOp+IywjK1qr+DpMABN4OwEkI+UA5AKQV66xkRTFTegKJxGBrhjkkEF3hg4ZuFweTIlO4UiNJoB+FAgPDx8+fHiN8EYKOpyWGkVtlWGYvLw8Ozu7rl27Dh48GC62YWlp+cMPPyxbtmzv3r1JSUn5+flqtVo4kBLG4ZbgA0VRSqVSpVLBXqkwWz8/P3d39+PHj2dlZdE0DVPSNP3q1auTJ09OmzZt4sSJCxYsMDExadu27YwZM+CErvDTJNSNWnFBi2IAILiJlzlTsADJSM4ViepOkB5HMQFMABPABCpCAMvIilDD12ACmEDNJwA7tSr57qy5vJJU8KMldXoyOBgMroyn9ToLT0GXDnTU0DQNe+XplHX1S4TevIXuIGG8+hW5SkqEOKBIeHj40KFDa4SMFP7YoRWnaRr9CAKrFY6QvHXrlru7u6+v7/79+7dv3+7t7b13796bN2+mp6cLlSEUnygTlLlQrcLPCABAqVT6+fk5OzufOHEiLy8PfkAYhklOTg4PD3/48OHx48e3bt06evToBg0adO/efcOGDfn5+bA6Uc4lRjRVzvLDm9X89MtyLCM1WPD/mAAmgAlUPgEsIyufKc4RE8AEagIBmp+XVVFURhZ2zCu7/FoKCr0uUxSFJvqC78daClMrW4ZhCILIzMxMTExUKBQlrrOndckH2UWqSSqVpqWlJScnp6WlkST5QQrzAW8Kxw1KpVKxWJzMh2vXrg0aNEhPT0/Eh8OHD2dlZeXk5KAenh+wtPDWNE1nZ2e/fPkyspQQFRX14sWLyMjIly9fxsTE5OXlwQlRaZrOyMiIiIiI4kNMTExsbGxUVFRKSkp+fj5aY6O8D6hSqS5cuODr63vp0iW5XA4/LwRB3L59+8CBA97e3jdv3rx169bUqVO7dOkye/bsY8eOKRQKrc9RibuakkAZqWJBHq8ksTdSAwb/jwlgAphAZRPAMrKyieL8MAFMoGYQoPlpWsshI5EHEsoqJBVUKhVyxSDFBeexRGngUDEt/ckwTH5+fkBAwN69e6Ojo5HHprrxgw+lUqmCg4OdnJyWLFmyf/9+lUqlVU707FrHa80uRVGZmZn+/v6bNm1ycHBYsWLFtGnTOnXq9Omnn0IZOWnSpO3bt9+8eTM7Oxt2wvyAzw77XTMMc+/evb///tuxlLBp0yZHR0e4dXNze/r0aX5+PqxckiTlcrmKDwRBkCQpjFfs0Wiajo+PT0hISE9PhyWEns9///3X1tZ28ODB8+fPX79+/R9//OHq6nr37l2xWIyS6XZHoYzMx95I3aDhVJgAJoAJVIQAlpEVoYavwQQwgZpPQCcZCaWR0McIu6dSFKVWq9PS0i5duuTv73/s2LGDBw/u3Llzz549x44du3TpUlpaGkz59OnT06dPh4WFZWZmagktiqICAgIWLFhgbm5++/ZtrbPVjbBKpQoLC3NwcLC0tBw5cuTBgwdTUlLQGNFq60qtRIwkSWZkZBw9etTe3v7333//+eefZ8yYMXXq1B9//HHSpEmTJ09etGiRi4vL9evX09PTSZL8sL8LwOGIAAAXF5eOHTt+qUMwMTHZu3dvRkYG/L3j7t27Pj4+sDvrdk3w4cP27dt37NghPOXt7e2lCcK4l5eXp6enNx/gJZ6ennv37t25cydMtmvXLjhacsKECYaGhk2bNu3YsePgwYPt7e09PDxgAXx8fHbu3Onl5eUmCC58cHNz8/LyOnXqVF5enqauGQCgNxLLSA0S/D8mgAlgAlVAAMvIKoCKs8QEMIEaQKCIjGRBDjchB7ckAGAZwG0FAfkhoViCQ7MSExNtbW179+7ds2dPExOTr7/+esCAAT169Pj666979+7t4+MTExMTFhY2c+bM7t27r1+/PiYmRovKixcv5s2bZ2ho2L9//+DgYK2z1W2XYZjc3NzQ0NCVK1fq6+v36dPn9u3barUadt9Fpa3mYhiVswIRhmHUanV8fPzjx49DQ0Of8iEsLCycD8+ePQsPD4+KisrMzIRDBz+sjGRZFnY89vT0NDY2blFKgKeMjIyaN2/+1Vdf7dmzJzU1Fc4ItWHDButiYeDAgVZWVpZ8sNAEeMRME8zNzU1NTfv27duvWOjfv7+pqam5ubmlpWWvXr26d+9uamo6YMAAExMTIyOj+vXri0SiOnXqmJiYDB48+Ntvv7WwsDAVhP6agDLu37+/ubn5r7/+mpmZqalTLCM1JPD/mAAmgAlUJQEsI6uSLs4bE8AEqi+BImMjy5CRyBVJ8wHKpJycnL/++svY2PiTTz4RiURdunRZuHDh6dOnV61a1aJFi4YNG3711VfffffdwIED9fX1P//8cxsbm4SEBLRiO8uyCQkJ33//vYGBweDBg0+ePCmVSqsvKk3JGIaRyWRubm6fffaZkZHRsWPH4BMJO+vWYhkJH42iKAUfoEokCIJhGJIk0TylMNmH1ZBoDmGapiMjIy9cuODPhzNnzvj7+58pGuApf3//y5cvx8XFKZVKlmUpinr8+PGlS5cuFw2XLl26WCxcvnz50qVL5wXh3LlzZ4uFM2fOwOPHjx+/fPny6dOnz5496+HhAT9EderUqVu3bv369Y2MjJYsWXL8+PELFy5o3e6SJly8eBGeggcCAgLgcE1+WUgsIzWfWPw/JoAJYAJVSQDLyKqki/PGBDCB6kugHDISPgRUC4GBgT4+Pg4ODiYmJv3791+xYsWff/7p4eFx+/ZtlUr17NkzNze3P//808TEBI6X++STT8aMGXPjxo3/VlBQqVTwBZ0giODgYH19/UaNGi1evDglJUWoxKotM5ZllUrljRs3Zs+e3bRp05kzZ0ZGRubm5n4k0+0gfYh+UGBZFv7KwPABSUcYEW7ff53CcbkMw6hUKth0odYVKl4ofdERkiRhO4RjfeHTwUcrewtTQiylbRmGgdnCRT7QEji3bt365JNPRo8evXz58oULF86ePXvAgAFjxozx9/eH/cAhdtgRQIhUGIeTIWt6VpcoIwmWxQt+vP9miO+ICWACtZkAlpG1uXbxs2ECmEDpBHSVkVD45eTkPH/+/OrVq/PmzevUqVPHjh1HjBixd+/euLi4pKSk1NTU7OxsgiBycnLS09MTEhI2btw4dOhQCwuLtm3b2tnZ5eTkIO2Rm5v7+vVrFxeXTz75xNTU1MPDo0a4IiFJhmFycnL++ecfMzMzuFJ8UFCQRCIpnXNtPiOURkKhJVQ4MP7+KaCe2HDtGdj84IDJ0pQeOo7EJDpSWgRmSFEUnIMHuWS1boRAQUqQhkKhSElJ2bRpk7Gxsa2t7cOHDyMjIwMCAn744YcmTZosW7bsyZMnaH4dIVK40A7MBB0XEMYyUgADRzEBTAATqDICWEZWGVqcMSaACVRrAuWQkSRJPnjw4Ndff7WysmrGh0GDBvn6+mZkZEA3CHxLpmmaJEl4JCoq6tq1a4cOHRozZoyjoyPy1xEEERER4ezs3KVLl4YNG27cuDEmJoYgCC1UyAODnDbI8SVMKUymccUIz78lji5HM8q+5QL+NMuyYrF49+7d3bp169y5s6OjY1hYWI3wpurydOVKA2dR0tJIqBc0UjiIc7ky1yVx2Tmjs0gECmVeGXEo9spIAE/RNE1RFEmSBQUFcL5iuVyuUCjUajV0bMIJipETEmaLSqVSqQIDA5ctWzZq1KhVq1Zdu3ZNIpEkJiaOGzdOJBLNnTs3KCgIzVSkBRO1N3RcgAvLSAEMHMUEMAFMoMoIYBlZZWhxxpgAJlCtCegkI+GLb0FBga+v79dff12/fv3PPvts+PDhvr6+YrEYvctq9bgDAJAkCZ0ta9as2blzJ5KRGRkZPj4+/fr1E4lEpqam9+7dQ/3xhLTgyzEAgKIouPoC1KhQTCLVp3UtekEXZlVGHC1KATUATIluDb1YaBflw7JsXl7ekydPhg8fXrdu3dQ4ip8AACAASURBVAkTJly8eBFpJ5TsI4kgGSOMvLdnhzdF/kZ4X9gMYI1AvSdsn0hSlhZB6rG0BOg4vDtJkklJScHBwQEBAXfv3g0KCoLzEsPWi/rHIj4IDsMwL1++PH/+/CV+BObz58/j4+OvXLnSp08fkUi0aNGiR48eoSaKrhI+Yyk/nRSVkayKZdX87Fm4U6sWRbyLCWACmMA7EcAy8p3w4YsxAUygxhIoXUZy07QC+BauVCpTUlKuXbv2008/NWrUSCQSffPNNzt37kxJSdF6wYVvyVo0cnJyrly5EhoaioTfq1evfvvttwYNGujp6Tk6OiYmJpam/ViWlUqlr1+/jomJiYyMfP36tUwmg6/mmZmZsXxIT08Xrt+oVSStwmjtMgyjUCji4+NDQ0NjY2OVSiWSgrBILMvKZLLk5OTs7GxUfpiJUql8+fLl//3f/9WvX9/ExOTQoUPFRYLW7Sp9tzRupd0IlbCyIkJtVll5lpZPKXqJe1bY6Vomk8XFxUVGRkZHR8fzQS6XQ1c2dOjBH0Sg4xQJRaFTEboWhaeKH9FKD0vLMMz9+/ft7e2dnJycnZ03bNhgZ2d39+5d6IoULgmDqgbVXUFBQW5urlwuz83NVSqVqampdnZ2enp6+vr6f/zxR1hYGEqJrn1bpNi6kZyGJLCMfBs3fB4TwAQwgXITwDKy3MjwBZgAJlArCJQqI/lX88IFP7Kzs6GGNDY2FolEDRo0WLVqVWRkpJasgkCKv/Lm5eVlZGQoFAp06tmzZ4sXLxaJRJ06dQoPD8/Pz0enhFQZhpFKpQcOHFi4cOGKFSvWrVu3ZcuW06dPFxQUxMXF7dy5c+PGjfb29nv27ImPj4c+SZZl4bypwnxKjEOXZmZm5okTJ5ydne3s7DZs2PD06VOlUom8pgAAgiCuXbvm6ekZGhqqJVBpms7IyNi3b1+7du2aNGni4eFR4o2q9GCJ3Mq4Y2kKrcLHq4mMJAgiLCzM19d3zZo19vb269evX7FixZo1a65fv56fn4/6kcLfCFDva+RRLDGiYzKWZVUqlVQq3bhxY7du3ezs7Nzc3Ozs7MaNG7d9+3a5XE7yoXilaDUnmAB+1nr06CESiX788cdjx47Fx8eXt5YBEMpIOcu5IqGGpPAUO8UrAh/BBDABTOBdCGAZ+S708LWYACZQcwm8XUYyDPP69WsfH5+ePXuKRKKGDRtaWVkdP35cJpMVf7tFakRIRKlUao17DA8PX7JkiUgk6tGjB/TylZhVZmbm+fPnJ0yY0KRJkw4dOsyfP3/GjBmzZ8+OiIg4efJk3759e/bs2a5duyFDhnh4eEDXKPRKwWIIy1A8DnulXrly5bvvvps+ffqcOXP69u27du3aoKAgYWn/W6Fk1apVI0eOPH/+vFYmcP7P4ODgYcOGNWvWbPPmzTBBiRC0ri1xkKdWmjJ2i+MqI/HHcOrKlSvLli0bNGjQl19+OX78+Llz53bu3Pnrr79evHjxxYsXoQcbKV7kk3yXCKxB2KNbJpNdunTJ2tq6SZMmv//++9mzZ69cufLbb785ODgkJycjGQkHkaJ5d0r8FSYwMNDGxsbQ0NDS0tLPzy8mJkboade5KqGMVLNAzq8EC3u0Ym+kzvxwQkwAE8AEdCaAZaTOqHBCTAATqFUESpWRLFPYqTUzM+PEiRNz587V09MTiUTNmzdftWrVo0eP4MJ6WjCQgkLuHYqi0PBCmDgpKWnHjh3fffedSCTq3bt3dnY27HColVV8fPzZs2d37NhhY2Pz008/LVmyZPv27QsWLOjateuqVasOHTo0c+bMrl271qlTR09Pr3fv3rdv34bv5agMWhlq7bIsGx0d7eHh8ccff9jY2AwfPrxJkyYmJiZ///03Gu3JMMz169cnTJhgYmKyf/9+6FlC+UAhER0dPXXq1P9WjXd0dISn3lqAtLS0I0eO7Nq1a+fOnbsqFHx9fa9evZqbm1uiRwuVEE1NBMepwrk94QRIwn6bNSUO+5eiR4b8X7x4ceDAgRUrVixatGjp0qW//PKLs7PzqVOnfvvtty+//LJNmzYLFy589eqVsGreRT2ia4UyMjc39/LlywsWLJg+ffq+ffuePXsWGxvr6Oi4bt26yMhIuNZITEzMxYsX/fz8Tpw4cZIPp06dun79elRUFAAgLy/Pz8/v4MGDXl5eW7ZsWbdu3Y4dO/7555+AgACJRFKhXw1YACjODwkULAtNyQ+PxGMjhZ8PHMcEMAFM4F0JYBn5rgTx9ZgAJlAzCbxFRrIs+/x5xF9//fXfshb16tUTiUTGxsb79u1LS0sr7ktB8gm+YaOpKaE3BmmzK1euTJs2rUWLFiKRqG/fvnCNEPiijF7N09LSfH19f/vtt/3794eFhcHRbuHh4atWrTIyMho4cODVq1fv3r37yy+/mJqadu7cGcpIeAtd3rkpipJKpTdv3nR3d3/06NGuXbt69OjRoEGDTz75ZN68eahTK0VRJ06cGDhwYLt27Xbv3q1QKNBToOqOjY2dNm1as2bNkIxEp0qLhIaGzps3b9y4cd/zYezYsTBSrq2trW1sbGzx8mjdFFYTwzDQxYoIIzlUEyNQD6tUqoKCgh07dnTp0mX+/PknTpwIDw+PiYlJTEzMzMz09/fv2bNnnTp1TE1Ng4KCIBZhE33HOPJtAgDUanVMTMzt27dv3boVGRkplUqjoqJ+/fXX1atXx8XFFRQUwDmlhg4d2rt37xEjRkyaNGnEiBHDhg2zsbF5+PChVCq9ePHi0KFDe/ToAYVoUFDQkSNHHBwcPDw84EytWtWq2y7D9WUFShbksyCP23K9W2n+wXXLAKfCBDABTAATeBsBLCPfRgifxwQwgdpJoCwZCZ84ODh4/vz5devWrcOHtm3b/vPPP7m5uUIBAxd213ovh6sgwGUk0WSqLMseP3585MiRDRo0EIlE/fr1k0qlaDQjFDm5ubknT56cNGnSsGHDTp48qVaraZpWq9VpaWnr16//4osvTE1NAwMDc3Nzg4ODL1++DH076enpUF0gRVpGjSkUioiIiBMnTuzdu1ehUPznGDQ2Nq5fv75IJJoxY4ZSqYTXFhQU7Nu3z8LColWrVnv27CnRaxoXFzdjxgxDQ0PdZWRKSsq5c+eOHz/upwmndAua5H4nT568cuVKRkaG0N9Y4vMiaS2srxJT1qCDsKXB5UltbW1FItGcOXPu3r2L5tERi8ULFiwwNDQUiUTdu3cPCAiAT6fVRCtlF2laOR/g1MRHjx7t16/f4sWLpVJpVlbWjh07+vbt27hx47p1644dO3bx4sVffPFFt27dHB0d4+Li/P39Bw0apKenV69evQ4dOowdO3bBggUjR460sLCwsbFBbvbyVxDLzakDFLyGzOW3Sl5Gch0NcMAEMAFMABOoFAJYRlYKRpwJJoAJ1DgCb5eRgYGBs2fPFvHB0NBwwYIFkZGRQkEFtd/r168vXry4bdu2rVu3urm5efLB3d1927ZtLi4uBw4ciIiIgC/cfn5+o0ePhjKyf//+Wt5IOGTx8uXLW7ZscXZ2fv78OZSgKpUqPT3dwcFBX1/f0tISTnijVqtVKpVCoZDL5Wj2FFgHZfskVSpVfHx8YGBgSEgIy7I7d+78/PPP69SpIxKJpk2bBr2RBEEEBQX98ssv33zzzcyZM+/du6dWq7XEGMuy0Bupo4yEQzfVarVcLs/Pzy+oaICKBa1MWEazi42N9fX13cYHV1fXbdu2OTk5wWraWr2Ds7Ozq6uri4sLLDwqrIuLS3h4OAAgLS3t5MmT5ubmIpHI3Nz8999/3759u7e3t4uLy+LFi5s1a1a3bt1u3bpt2LAB/sSA/IeVoh5RJlrwWZZ98uSJnZ1do0aNFi1aRFFUQkLCnDlz6tWr99lnn3333Xf//PPPrVu3hg8fPmvWrEOHDkkkkmvXrv3666+LFi1atmzZ8uXLly5dunz58t9+++3PP//08/OLj4/XanVadyx9lylJRlJ8yUu/CJ/BBDABTAATKA8BLCPLQwunxQQwgdpD4O0y8v79+1OnToUycsSIEQ8ePFAoFPCNHGKAMjIgIGDt2rWWlpZWVlb/jSRspwmtW7du167d+PHjr127Bq/y8/MbO3bs559/XrxTK/StURSVnZ2dkpKSlpYGx5VBb2dGRsaaNWsMDAwmT54cGxsrrAQ4Xg6WRHi8tDicHSc/Pz8vLy81NdXe3v7TTz8ViUTt2rVzcHCAElQqlfr4+PTq1WvIkCHHjh2DAxG11CnLsgkJCbp7I1mWVavVwil8SiuhLsdRV1VhdWhdePfu3UmTJg0cONDc3Nza2trc3HzAgAHm5uZm1TXAspmbm1vxwZIPFhYW5nwwMzOztLS8dOkSSZKxsbHz589v2LChSCTS09MzNjZuz4fWrVv369fPyspq4MCBW7ZsES5Lg7RfJUaQxuN8fySpVqtPnz49ffr0Fi1a+Pj4AACuXLkyfPjwtm3bTp48+c6dOwqFQiwW29jYLF68eM+ePVKpFK5TEhcXl5CQkJiYGB0dHRMT85oPwh9ZtGpWh93iMlLBr/mh1Yp1yAknwQQwAUwAEyiFAJaRpYDBhzEBTKCWEyhLRsJ1Ix88eDBv3jw4MHLo0KH37t0TqiD4Os4wTFpa2uPHj69fv37jxg07OzsjIyOoPPX19QcNGrR///7/uqRClmfOnBkxYgScsKd3794ymQx1aoXuSrgspEqlIggCDrBkGEatVkdERCxdurRdu3a+vr5yuRy9C0NtBjNHwxrfWm/w8uzs7O3bt5uamtapU6d+/fq2trZoOpacnBwXF5c2bdoMHjz42rVrQrUAnxreIiUlZc6cOYaGhps2bdLlpmieGJVKBeewVVcooA6cSEKXePfU1NTbt2/fuHHj2rVr169fv1ZzwvWiARX8+vXrSUlJarX69evX33//PWxmHTp06Nq169dff921a9eff/754sWLDx48ePjwYUJCAvKcV6J0FGaFBgkTBJGamgqH7FpZWU2bNu3169fJycnjx483NDQcOnTojRs31Gq1VCo9derU4MGDp0yZcvz48YKCAriySPHqQy28+CndjpQoIwmWZXCnVt0A4lSYACaACbydAJaRb2eEU2ACmEBtJPAWGcmybFxc7I4dO7799ls9PT0DA4Nly5ZFREQoFAq0TiNSkiRJwlfq/fv3t2vXDr7f9+nT58iRI8LVQR4+fDhv3rz27dvDBT+0ZCScUzQ1NfXx48cvX75UKpWwt6pMJnN0dOzfv3+nTp3u3buHurA+fPjw/PnzcFkF9DqOlAMcn1lixcF39Pj4+F9//VVfX18kEvXp0+fChQtQLpIk+fz58yVLlhgbG48fPz4gIAC90yMJAX2A8fHx0Bupi4yEJUlPT79x48bWrVvXr1+/jg9r+QDjumzXrFlz8ODB3NxcJLxLfEZ4Fg1MLS1NtToOOdM0jX6tIAiCoriumKicsKJfvXo1fvx4kUjUqFGjtWvX7uTD/v37Q0ND4SU0TUskklevXuXl5ZXhsEXZViwCPduRkZEHDhyws7ObN2/ehAkTFixYsG3btlevXoWHh48ePbpJkybDhg27ePFiUFCQj4/Pzz//PG3aNHd39ydPnsCpjNH0sxUrQylXYRlZChh8GBPABDCByiOAZWTlscQ5YQKYQE0iULqMZAFDA5qmlUrF8+fP161b17VrV5FI1Lp1a09Pz9jYWIVCAV/u0fs9fJ/OyMjYtGlTy5YtoYwcM2ZMTEyMEElcXJyrq+vgwYPh9CfCbntQoRUUFNy4ccPV1dXd3f3BgwdyuRwAEBQUNGjQoEaNGn311VfPnj2DHsuMjIzVq1cvXLjwv0lcCYKA2pJl2ezs7FevXkVFRWVkZMBhk6WpiJiYmL/++qtevXp6enq2trZwACfM/OTJk3369GnSpMnChQvRI8CHRY9c3rGRsBiZmZl+fn5Tp041NTXtx4e+fIBxXbb/zXD732i6tLQ0VBIh4RoahwIePpFarU5NTX369GlsbGxOTo5KpUJPChUXRVHh4eFTpkwRiUSfffZZcHBwFh9QYpZlxWKxv7+/j48PrD6UQ+XyYVlWLpefP39+xowZ/fv3t7Ky+umnn+CQzkuXLsXExLi7u48cOXLMmDEuLi7bt2+fOXPm7Nmzjx49+uTJE7RoatWUDcvIyq1qnBsmgAlgAiUQwDKyBCj4ECaACXwEBEqVkbwji5ORDMPIZDI/P79JkyY1aNCgTp06kydPPn36dGRkZEZGBpzUlFebyoKCgpSUlNu3b8+YMQPOoFOvXr2ff/5ZKpUKSSqVysuXL8+aNUskEpmYmAjXjYSjy1JSUjZt2vTdd9+Zmpr+9NNPSUlJUql0yZIlLVq0aNCgQc+ePaOjowEAcXFxZ8+encCHx48fQw0JFWBISMjff/+9cuXK/0apRUVF5eTkIP+ksCQAgJiYmDVr1ohEovbt2589exbOfUqSZHp6+po1axo1alS/fn07O7ucnBx4IVKqcJeiqFevXk2ZMuWtU+xAnQB1MkEQSUlJXl5eK1as+LNCwcbGZvfu3dnZ2ZAYLEzVSBEtYFW4ixBRFKVWq8PCwtauXbt3797/OjNLJBL0MwFUmzRNP3/+fO7cuSKRqGHDhs+ePSNJkiAI6BKnaTorK+vYsWNTp06dMmVKSEhIFZYbAJVKdfHiRQcHh+XLly9btszJyengwYN79+69efNmXl7ey5cvfX19HRwcfPiwcePGffv2RUREyGQy6IqEZauC6itRRpK4U2uVNgacOSaACXxsBLCM/NhqHD8vJoAJQAKlykiW4VYFYBiGoii5XB4REbFu3ToDAwORSNSyZctFixZt27bN399fJpPBnpNZWVlPnjzZu3fvkiVLOnfuDF2Rffv23b17t0ql0sL97Nmz3377DXojZTIZ8jVRFJWTk/Pvv/+OHTu2adOmenp6hoaGkZGRaWlpRkZG9evX19fX79GjR3x8PADAz89v1qxZI0eOtLe3j4mJQSKEIIijR4/26tWrZcuW48aNc3FxiYyMRD5JWBL0yv7fhevWrROJRL169YqOjoYdKRmGOX369DfffAOfYu3atbCzLpzCB0pBqFezsrL8/f179er12Weflb3gByoejDAMExkZ+ejRoydPnoSFhT0uTwgLCwsPD4+KioIaHnX+RA+lRRtOD4vGdgrPVsP+rrDDakBAwPTp09u3bz948OC1a9eePXs2MjJSoVCgZ2RZNj4+/r/ZXBs3bvzpp59GRUXRfEDLYB4/fnzEiBH9+/dfunQpGu8qfPZKjNM0HRUVFRIS8uTJk3v37j1+/DgyMvLly5disRi66JOTk8PCwkJDQ4ODg58+fZqUlJSTk4MGVcKSoEcrsWCoK7VWpMTEmoNYRmpI4P8xAUwAE6gyAlhGVhlanDEmgAlUawKly0i+UytJkjTNuYakUumVK1dmz5791Vdf1alTp2XLlp06derdu7e7u/vNmzf9/f2dnZ0nT55sYmLSsWPHL774QiQS1a1bFw6k1BIwLMu+evVq2bJlIpHI2Nj48uXLqamp8B2aJMmcnJxDhw7BhePr1q0rEonWrVvn5uYmEokM+NCyZUsnJ6cDBw4MHjy4Z8+eK1asuHfvXl5eHsUHON3O33//DWde1dfXNzMzCwoKgr0H/7+9M4GPKcnj+JNJIpYQCbFCbNawH5OJay1rzFi3z8w41xXGWMdgMYQxbmscyYxF2MHHGPcxYoMVIpIx+5lxxhHryCEREiGXRK5O0vc7d7qL0rp1645GuvOrz/u06lf16lV966XV7/3/VUW7gg7ZMzIyli9f7urq6ufnt3HjxoiIiOjo6MOHD/fv35+0gmGYpUuXUn9LOoiXJEmpVFKjZfPmzTdt2kTLN+dDSzKQu2s0GpVKRfYsUdsYyKI8dIKoYbGGdaDniSmP1MqwO6gJ1/Sq13+GYCkvL7969erGjRsHDBgQGBjYokULf3//bt26LVmy5PLly3K5nK6iVFhYeOnSpZ49e9aqVWvz5s3R0dFRUVHHjx+Pjo7+9ttvg4KCWrVqNWfOnHPnzlVWVr7S5oiiSDae0Wg0CoWCrA6l0Wjo2wee50kGkkoUL30IX1g3+tQ9N2L+cshI82yQAgIgAAJ2IgAZaSeQKAYEQMDBCJiXkYIk6I7HgWXZhw8fXrlyZcuWLb169WratKm3t3ejRo369u07bty4v/71r7179/b39w8ICBg5cuT48ePJ6H/Pnj2VlZWGuoUombt374aEhNSvX9/V1XXo0KF0RiLZ2OPixYsTJkwICgry8vJycXHp169f165dfX1958yZExwc3KhRow8++KBnz54BAQEzZsz4+eefS0tLiXMgEUU8z4eHhzds2PA3v/kNUapnz57Nz883NP6Q4TjHcampqXPnzvXy8mrWrNnAgQOHDh06ZsyY4cOH169fn2wjyTDMrwvhkBE/YUF7uLy8/MqVKx999BHDMH369Dl69ChNIs00/GoYt14/GF5lGKclkIYYJpnGqRGVLF9ENlPJzs7O14eHDx/m5ua+aqFlWivTM6RRFy9enD59+sKFC6Oiog4fPrxs2bKOHTt6enr+/ve//+qrr4qKiqiMVCgUJSUlCxcudHd3Hzx48PDhw4fpw/Dhw//0pz/Vr19//vz5N27cMH0CTW9dzc88Vz3Sk+YrDxlpng1SQAAEQMBOBCAj7QQSxYAACDgYAUsyUhQlOlQVRVGlUpWXl2dnZ586dWr//v27d+/es2dPVFRUbGxsTEzM8ePHf/jhh0OHDiUkJFy7du3gwYNHjhy5f/++qb1LFMXKysqff/6ZbEf529/+9tSpUxQbz/MymezSpUtRUVH79+/fvn17TExMZGTk3r17U1JS4uPjDxw4QAyGkZGRiYmJjx49MvXMvHXr1vr168eOHevq6tq4cePY2Njs7GwqP8i9yLTG8PDwNm3a9OrVa+vWrUePHo2JiTl16tSePXvISrNubm7t27c/cOAAuYTISMJEoVAkJyd/8skn3t7eHh4eY8eOvXjxotGCorRRrzRCJaXluxDvyqSkpG+//Xb06NGDBw8eMWLEyJEjhwwZ8tFHH23evJksZWS5kNeQGhUV1aVLl1atWoWHhysUiry8vF9XWurTp4+np+fo0aPz8vKoZZVsnXLlypVdu3adPHky+kk4ceJEZGTknj17bt26pdFojN5ivIYm2P0Whn+GRnGL94KMtIgHiSAAAiBgDwKQkfagiDJAAAQcj4ANMpLswaDVauVyeUVFhUKhkMvl1H+PuGiqVCqyHSJJeu42BmQcrFQqV6xYwTCMm5tbSEjIuXPniLWQ+Kaq1WqFQqFUKokToFqtlusD8f3UarUkwuqDKXWWZVNTU9evX1+3bl1fX9/Y2Nj8/HxTGUkmQLq4uEyYMOHBgwdkkU+y1UfLli0ZhunYseOiRYtSU1OJdZHKSEEQCgsL4+LimjdvzjBM//79t27dmpWVZaqZTev2Rs4IgqBQKNLS0lauXNm5c2cfH586derUq1evQYMGbm5utWrV+vTTT00RvZGq/vpionPnzgzDzJo1S5KkwsLCtWvXduvWzdXVddiwYXfv3lWpVLQrSbsqKiq0Wi1xDybuvsSDVKVSEY1tpdJ+I+215qZG0tHwq8XLISMt4kEiCIAACNiDAGSkPSiiDBAAAccjYIOMJL6Rj51cBYGMZUmL6TDdMA/NQEe9RIzRzEeOHOnWrZuLi0vz5s1nz5796zxDjuPItDGixwwvJEvamKoCWpoR+/T09G+++SYgIOD999+Pj4+XyWRGmpZl2Q0bNnh6ejIMExISkpubS7RrZmbmzp07yU6S48aN+/HHH4kaoVUirqE3b95ctWqVu7u7h4fHypUrr169SjYnNKpGNfmqUCgSExPXrVvXtWvXwMDA7t279+3bt3fv3p07d/b19WUYpmvXrrGxsXl5eYbKnHSHoYSmvW8YMdcFVrbd8HKe58+cOTN58uTOnTt///33kiRdvHhxxIgRpJvGjRt3+/ZtIxlJbJLkXvSBIWVSM7XhLaysVbXKZtguo7jFekJGWsSDRBAAARCwBwHISHtQRBkgAAKOR8A2GWk0hK3aVwrp0aNHe/bsefvtt+vXrz9ixIhr166xLEstfjQbjVgvBliWTUtLmzlz5ogRI7Zs2XL79m1Td1OtVrt69Wq6FmtmZqZGo6msrDx8+PB7771HxO3SpUvJloNUNRHRolQqDx8+3KFDB7LY7N69e7OyskwXpKU1f4MR4o18+/btsLCwVq1atWzZ8ssvv4yOjv7pp5+OHTv23Xff/eUvf3Fzc2vYsGFwcHBUVFRFRQX1AiWLphrKSMPXBLSnDG2wppxp202TRFGkSo9k43m+oKDg8uXLcXFxubm5oigePHiwR48ederU8fT0/Pzzz+/du0edWskSwbQaz30a6d0dOvLcppGTFtsFGWkRDxJBAARAwB4EICPtQRFlgAAIOB4B22QkNSdaGNdak0Q5FRUVhYeH+/v7+/n5hYSEZGRkGGoSms2miCAI2dnZhw4d6tat25QpU5KSkkpKSkxL0Gq1a9as8fDwaNas2apVq8guGqtXr37//ffr1avn4+Pz2WefnTlzprS0lGonElEqlb+aLsnKLvXq1Vu2bFlKSorRSrCmt3tTZziOy8nJ+de//tWuXTuGYf74xz/u2rWrvLxcqVRWVFQ8evTo0KFD/fr1q1WrVsOGDUeNGmU4T5V0N6m5uW41shKb6z6e5+nWnfR1AMuyGo2GlEy0KxGWxD1VFEWlUjl+/HgfH5+mTZsOGTLkyJEj5eXlNCfV9ubqRm/0puDb675VbSBkpL16AOWAAAiAgFkCkJFm0SABBEDAqQnYJiMtDGdtSqIOoqIoPnjwYNKkSY0bN+7QocP58+epcanK2AVBSE9P37Vr1+DBg0NDQ/Pz8zUajWlpgiAcPHhwpLVtDQAAFsRJREFUxIgRCxYs2L1798WLF0+fPh0cHNyxY8dPPvlk5syZJ0+eJPuIUBlJzF/p6enR0dEzZszo2bPn559/npiYqFarqUYyvdGbPcPzfFpaWr9+/cgOKM2bN583bx4xsZKKVVRUxMbG9uzZs3bt2gEBAevWrTNSXzzP5+fnFxUVlZaWFhUVFRcXl5SUlJaWymSy0tLS4uLiwsLCvLy8nJyc8vJyc42trKwsKysrLi7Ozc0tKCgoKioqKCi4f/9+Tk5OQUFBYWGhQqEgeA21a3p6+gcffODv7x8cHLxjx47c3FzqmUw7xfBZMn0IzdXHsc6btsvwjPm2PFdGakVREEXzFyEFBEAABEDAFgKQkbbQQl4QAAHnIfCGZSSZZ5icnLx3797Q0NCkpCSydYeRkrGJN1kJ9t69ewkJCRkZGXK53FB7SJJEv2ZnZycmJmZmZmZlZRUWFhYUFCQkJJw/fz45OTktLa20tNTQvZNUqaio6MiRI9u3b4+MjDx//nx6ejrxZaVl2lTV15BZFMVfUZBdSTw8PPz9/b/44ouUlBTD7U8UCkVYWFjdunW9vb3DwsJISzmOU6vVFRUVKSkp33///bp168LDw9etW7dmzZq1a9eG68O6devWrl37zTffrFixYsmSJf/5z39UKhVtFJE6kiRptdqzZ8/u2LEjPDx81apVYWFhX3/9dWho6MqVK8nX3bt3p6amsixLN26RJCk+Pn7+/Pnh4eGnTp2Kj4+Pi4s7f/58cXEx8YOFjKRKkgI3iUBGmiDBCRAAARCwNwHISHsTRXkgAAKOQYCXJI0kKSWpUpRkglgmiJWiyOq3+pDIhh/UddCy2YcOaq2PEEJkAl55efmNGzeys7PJ5MOXkZG0WFJh8klOkmKpOOR5nrSORui1VKsYXihJkkwmu3Xr1o0bNzIzM5VKJVWPtEySv/p8iqJYUFCwYcOG0aNH/+1vf1u8eHF0dHRBQQFd7FSSpOTk5LFjx7711lteXl6hoaGk8oWFhWfPnt29e/f8+fP79OnT7kl45513AgMD27Vr17Zt26CgoHfffTcoKOidd97x9/efNm2aUqkkl/M8r1ary8vLExISIiIiZsyY0aNHj44dO5L85MJ27dq9++67bdq0mTp16oULFxQKBems8vLyM2fOjBkzpkuXLhcuXBAE4d69e/v27du8eXN6ejqZY2nlY1l9OuJlamLhb8pisZCRFvEgEQRAAATsQQAy0h4UUQYIgIDjETArI0lTDG0+dlRKZFhsONOS5/ny8nIiJOx4I7t3CMdxZLsRuVxuaNCz+43sVaAoinK5PCEh4cSJE3FxcdevX3/48CFdpYbMRdy1a1ebNm28vLy6d+9+8OBBcuvExMTVq1cPGDCgRYsWnp6e7k+Cmz7Url37yYnH/9aqVWvQoEGGuvrRo0enTp2aOXNmz549W7duXa9ePQ8PD3pV3bp1yVc3N7ehQ4eeOXOG+LXK5fKffvpp6tSpXl5eTZo02bFjx7lz53bu3Dl16tQ5c+YkJyfXQBlZ1YeByshKUaoQda+KVPqXRC//lqaqNcJ1IAACIOB0BCAjna5L0SAQAAGrCLxQRuqMhdTyY1WRtmQyNLMQkyBVmLYU8/ry0gG4oZHz9d2+SnfieV4mk5HJjUqlkqpfURQ5jisoKJg0aVKdOnXatGmzcuXKe/fukTZGR0ePGTOmffv2vr6+Pj4+DRo0cHFxqV+/fuPGjcm2kwzD1K5du0mTJr6+vo0aNWrQoMGYMWPIfiFkF8dffvll1qxZQUFB/v7+LVq0INmaNGlSp04dhmF8fHwaN27s6+vbrFmzCRMmxMfHkymsKSkpISEhAQEBDMO4uroOGjRo4sSJH3/8cZcuXWbNmlUzrZFV6nbdVFOdaJRUoiTXa0i5KKpFkdP/iVW1SFwHAiAAAiDwLAHIyGd54BsIgEBNIfB0bqSRUysBIIr8K5WRhgbJai4gHfSJIFTJiwCqgYnnsFarVSgUO3bsaNGiBcMwHTp0OHr0KMuyarU6IyNj5syZf/jDHwYPHjxlypTw8PDNmze3atWqbdu2X3755YQJE1q3bk0u+fvf/75w4cIwffjhhx9ImTKZLDEx8bPPPvPz86tTp86f//znmTNnrlq1avny5Zs2bRowYADDMFOmTPnnP/8ZGhr69ddf//vf/87KyiJW6B9//LFTp06urq5kLxYvL69GjRr5+Pj069dv7969xcXFsEZa/Sg+V0byxGXd6kKQEQRAAARAwBIByEhLdJAGAiDgvAQESeIkSSVJlYJYajg3kjRZFDlB4KiSfHUciNqhOufV3aimlWwkzglhjuOUSmVeXt7+/fs7d+7s4uLSpEmTBQsWpKWlSZKkVCpv3rwZGho6a9asyMjIGzdu3Lx5MyIiIiQkZPfu3bdu3YqLixszZkzHjh03b96cmJiYlZX18OHDgoKC4uJiQRDkcvnp06fnzZvXrl279u3bT5w4cdu2bYmJiffv38/NzS0pKdm0aRPDMIsXL05NTU1PT8/JyXn06BFZCUkUxatXr86fP//TTz8drQ/BwcGjRo2aOnXqvn377t+/z7IsnbZKjeT04TGN1LTufra9gihqTayRvJ7SsxnxDQRAAARAoKoEICOrSg7XgQAIODYBUZJ4SVKLUoV5GclSJenYbbVT7Y2EmZ1KfR3F0JqTrTV37twZGBjo7u7u6ek5bdq0rKwsss4qy7LFxcUZGRn37t0rKytjWfb8+fOdOnXau3evTCbLzMyMi4ubOXPm9OnTMzIy6Mq6dEbrpUuXhgwZEhAQ0KNHj40bN2ZkZBQXF2v0gazrc+zYMYZhunTpcubMmaKiIuLMTDPIZLL79+/fuXPntj6k6UNmZmZJSQm5nLaCRPDqwfyjw4uiRpSUzzq1QkaaB4YUEAABELCdAGSk7cxwBQiAgDMQECVJMJGRWjo01zu1soJAlKTgDC1+6TZQGfPSJb2OAsgiScR5mCq9tLS0LVu2fPjhh25ubn5+fnPnzk1MTKS1IevuaLVaeub06dMeHh7Hjh2TJCkmJmbRokXdu3f/xz/+UVJSQrUcfWbmzZtXVx8+/PDDuLg4UoggCFp9kCQpMjKSYZgBAwbEx8c/fPiQCFFiZqTOt4bF0jgpin61JkKbUCMjvG4yJGRkjex7NBoEQOC1EYCMfG2ocSMQAIHqRkCQJI2oc2qV6Y9KnQVDfKwYISOrW2/ZWh+qtYhCU6lUt2/fXr9+fZ8+fXx9fQMCAubPn5+QkMCyrCAIZWVlMpmMaE5i+lOr1VqtNiIiwsPD48SJE5Ik7du3b/DgwU2bNl2+fDmdqUjuQuo2cOBAhmG8vb0//vhjcglJ5XlepQ8rVqxgGGbt2rV5eXnFxcVkVR7qoWouQhtiU8RWXM6VHzLSufoTrQEBEKiWBCAjq2W3oFIgAAKvnACxRmpESS6I5fqjUr+cI0/u/KyMfHzylVcKN7AfAWIkJNqM47jMzMytW7cOHz68ZcuWgYGBX3zxxbVr1xQKhVarzcnJuXDhwpUrV4iAJFt3yGSyjIyMRYsW1a5dOzY2VpKkgwcP9uvXz8vLa8GCBXl5eRqNhqx5Q62RvXv3ZhgmICBg8uTJv/zyC1nSlhhFi4qKbt68OWjQIIZhYmNjtVotMUJqtToDOKmklSrRfoScuCTISCfuXDQNBECguhCAjKwuPYF6gAAIvF4CVspIstAOJ0ni660e7vayBIgNUC6Xl5WVpaWlrVu3bsiQIV27du3UqdO0adNiYmIePnwol8uTkpK2bds2a9as7du3EwEpCALHcTk5OVFRUd26dXNxcTl58iRxSe3du7erq2twcPDly5fLysqICKQyslevXgzDtG7devbs2YmJiUQWajQapVKZkpISFhZG9guJj48nZk9OH+iavS/bYFz/lABk5FMWiIEACIDAKyIAGfmKwKJYEACBak7ghTKSezIxUjdDEjKymnenafUEQaisrLx06dLWrVunT5/erl07Pz+/3/3ud+3btx82bNjs2bNXr14dGho6derULl26NGvWbOXKlaQQURTlcvm2bduCg4Pr1q3LMExMTIwkSRERET179mQYplWrVps3b37w4IGRjOzfvz/DMH5+ftOmTaNTLgsLC//73/9+9dVXZEPI8ePHZ2ZmEgFJVl41rTkVlkSIPjcDTlokABlpEQ8SQQAEQMAeBCAj7UERZYAACDgkAVGSWFFSmHFqZQVBq1+pFTLSMXtXFIuKikJCQt5++20fHx83NzdXV1d3d/d69er5+Pj4+vo2b968adOm3t7e7u7uHTt2PHDgAG1nfn7+1KlTya6Sbdq0uXLliiRJBw4c6NGjB8Mw9erVW7ZsWWpqqkajMVR6kydPZhjG3d09KChozZo1N/Rh7dq17733XvPmzRmGGTZs2PXr19VqNa8P1IxJ70sjhg6u9CQi1hHQ7eVjsMSOXJQUxF9dT9W6MpALBEAABEDgRQQgI19ECOkgAALOTIATJaUgVpjMjRRFUauXkWSxVlgjHfIhyMnJGT16dIMGDTyfhAYNGjRs2LBRo0ZNmjRp3Lixt7e3j49PUFBQeHh4VlYWXdA1MzNz0qRJderUadSoUXh4uEwmU6vVMTExffr0YRimdu3aS5YsSUxMNJKRx48fHzhwoLe3d/369YOCgvr379+3b9/AwMC6det6eXmNHDny3LlzZGcRQ/FpSNZQPZrLY5gfcRMCxMvASEYq9atnYcMPE1o4AQIgAAIvQQAy8iXg4VIQAAEHJkCGm6xFGal5oiQxN9Ihe1omk+3bt++rr75a/iSs1IdVq1aFhYWFhoYuWbJkxYoV3333XUJCglKpJEvsSJJ0+/btKVOmuLi4BAYGXr58WRRFjuPu3LmzYsWKli1bvvXWWwsXLrxz546RU2t2dvbhw4cXL148atSotm3buru7u7q69ujRY9KkScuXLz99+nRFRQVRqqZ2SFMBCRlp4zNH/qIF/UY+hjJSodv5Q9SKIi+Kgil5G++C7CAAAiAAAo8JQEbiUQABEKiZBKyUkURJQkY63kMiiiLLsoWFhTn6kJ2d/eDBg5ycHBJ5oA8ZGRn379/Py8srLS0lS6cS8ZaTkxMRETFx4sS5c+c+evSI53mO4yorK5OSksLCwsaNG3fgwIHs7Gwja6RGoyktLU1PTz927NjSpUuHDx8+cuTIDRs2nDt3LiMjo6ysTKPR8DxPV3Al97L86Xjc31iNqYzkTZxaISPfWK/gxiAAAk5MADLSiTsXTQMBELBAQNSvmmNqjaT7RrKCoNEfuhmSWGLHAsrqmUQ20uB5nmzPqDUIGpOg1WoN1V1lZWVOTk5SUlJycrJKpeI4jud5tVotl8vz8vJSU1OzsrLKysrIyq6GzRdFUalU5ufnp6Sk/O9//7t+/frdu3eLi4tVKpVWq+U4zqa9PWA6M2RrPk4FpCBJOg2pm/MsqnVGSEmuP6hTK6yR5ikiBQRAAARsJAAZaSMwZAcBEHAqAhbmRkJGOnZPEyufIAhkPZsXfhpqNo7j1LqgodqP+LVqtawkSYIgqFRqo00jCawn2XSalWVZjuOIiCVC1FCpWjZC0lTH7oPXVHsjGclCRr4m8LgNCIBAzSYAGVmz+x+tB4EaTUCUJE4QVGaW2DGSkYLeIIndIx3siaF67IUR2jBixiRmQyPhx/M6Y7Uoijz/2K5lKD7NbdTxwltbyEBrhYgZAoYa8rnWSIUoqTA30gw9nAYBEACBqhOAjKw6O1wJAiDgyARE4v8mCGpBUAiiXBDIrgDEf1UQRSMZyevzP3Z5deSGv8K665cwEarP5xPlTxyYX9hwku2xijRshSDoVmfRf+reI5Cveu33nMaSmxpebnrGMBXxlyDAiyL37MGKIqsXjWpRVOkFpEq/24dWn42ssvOcXrOmDi98gJABBEAABGoUAcjIGtXdaCwIgAAloBOK+uGmRqckRbUgqPW7ArD64aZuMKpfplW37Yc+JxmecnS9RwsWpBqZJIgiLwiP90dxgoj+AaDN0dIWcfzjR4KeQeTNESC78hh9kinN+r9r3UsitcEk56f9aHudOSPLM/0pQQQEQAAEaiYB55SRNXIMh0aDAAjYRIB/dnBJR6J0DPrcCBmG6hbbRHiWANWQlKRjR55sHPq0FeQMr1t4SWuaSl86IPKmCZDVlZ92nL4+zz1plMfyV8jImjlORqtBAASeT4DMC1KzWjWr1XJsdTsYKyuk0Ved5Vg6prFpLInMIAACNZIAZCT9ybRLRCcjnxh4dSoLBwi8aQLkgSROBy//QHLPH0nhLAiAAAjUSAJOJSM5/vFC6lUYENXIMTQaDQI1nACVkc+1Opo7CWukuZ9YYo20bM9BKgg4LgGdNRIBBEAABECAEBBE0XmcWl9GRpIV4c0NjnAeBEDAGQmwHK9mORX95Hi1FYeG47Wcbi963Q4O5B/Ln3TXB8vZHDmV16HQfTiuQkDNQeCFBCAjMXgGARAAgacEdCtM8Jya1WqcwKn1JWWkI4/hUHcQAAGbCOjknyA8lpEsp7LlULOchmV1WwJWIdhUSwfLzLN6GUnXpEEEBJyMAGTk0+EjYiAAAiCg80HiOTK10Mp5iK8zm21zIx+/DdePvKpgOXnhztTIAAIg4EwEBIHjeI1OE1blIDLy8c7y1utJB1OG1ldXZ6HFAQLOTUD39yDofjiqPoOmCoMTXAICIAAC1ZCAziPLmWQka+Bfpnex0vtYWel2Zv1oCTlBAAQcnoD+x4LnWFavIVmNLmLDUUVTpPVq09Fyaqskxasm4HEVCLwhAqxW/8tnMNRw+F9CNAAEQAAEqkKA/A46m4wkStJIQ+InvyoPCK4BAWcmABlpX6Gq1Xv5vqHBfVWMyagqCNhOADLSmf9TQNtAAARsIPBYW/GcMzi1Pna05Tktz2lt9jLTDae0CCAAAjWOgEarVdt+aGocJ2sbbJNFF5lBwOEIwA3Bvq+fUBoIgIBjEyD6y+HnRhrJSPJinH5a00XWDpOQDwRAwHkIaLSs2uZDS2Qk3j095znQ2yTpTy8iIOBkBKwZTSAPCIAACNQUAk4lI9knplUNxxoeVtonnzMmwikQAAGnJmDLfEhqOYFFoqb8B4l2ggAIgAAIgAAImCMAGWmODM6DAAjUBAJVsJbUBCxoIwiAAAiAAAiAAAhYIuCEMlL7rCmSOOxaYoA0EAABEAABEAABEAABEAABEAABqwk4p4wkrSJ6ksStBoKMIAACIAACIAACIAACIAACIAAClghARlqigzQQAAEQAAEQAAEQAAEQAAEQAAEjAjVCRrL6LUCqtA+IES58BQEQAAEQAAEQAAEQAAEQAIGaS+CxquJYQ99P6g1aTSKMTfUgK7UaXkJ3Mqm5/YyWgwAIgAAIgAAIgAAIgAAIgIBdCRDNRdWWoQSrDnGbZaRRpZ82DNuZgQAIgAAIgAAIgAAIgAAIgAAI2IWAM1kjjTQk/Wq4hyTiIAACIAACIAACIAACIAACIAACL0mAqq1qGLHNGmmuAS8JCJeDAAiAAAiAAAiAAAiAAAiAAAgYEjAnvqrDefvISNOdJA3bjzgIgAAIgAAIgAAIgAAIgAAIgID1BKqDVrRQB7vJSAv3QBIIgAAIgAAIgAAIgAAIgAAIgIDTEICM1C2kiwMEQAAEQAAEQAAEQAAEQAAEQMBKApCR0JAgAAIgAAIgAAIgAAIgAAIgAAI2EICMtAGWldIc2UAABEAABEAABEAABEAABEDAiQlARkJGggAIgAAIgAAIgAAIgAAIgAAI2EDg/7urI7kY78xPAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "id": "ca9abd97",
   "metadata": {},
   "source": [
    "### 高斯滤波\n",
    "高斯函数是符合高斯分布（也叫正态分布）的数据的概率密度函数\n",
    "\n",
    "$G(x,y) = \\frac{1}{2 \\pi \\sigma^2}e^{-\\frac{x^2+y^2}{2\\sigma^2}}$\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "* GaussianBlur(src,ksize,sigmaX[,dst[,sigmaY[,borderType]]])\n",
    " * kernel:高斯核的大小\n",
    " * sigmaX:X轴的标准差\n",
    " * sigmaY:Y轴的标准差，默认为0，这时sigmaY=sigmaX\n",
    " * 如果没有指定sigma值，会分别从ksize的宽度和高度中计算sigma\n",
    "* 选择不同的sigma值会得到不同的平滑效果，sigma越大，平滑效果越明显"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c866aa22",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "# dst = cv2.boxFilter(img,-1,(5,5),normalize=True)\n",
    "dst = cv2.GaussianBlur(img,(5,5),sigmaX = 100)\n",
    "# dst = cv2.GaussianBlur(img,(10,10),sigmaX=0)\n",
    "\n",
    "cv2.imshow('img',np.hstack((img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b8968b2",
   "metadata": {},
   "source": [
    "### 中值滤波\n",
    "假设有一个数组[1556789],取其中的中间值(中间数)作为卷积后的结果值即可，中值滤波对胡椒噪音(也叫椒盐噪音)效果明显\n",
    "高斯滤波处理椒盐噪声不太好"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "59e9c325",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "dst = cv2.medianBlur(img,5)\n",
    "\n",
    "cv2.imshow('img',np.hstack((img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f572dda1",
   "metadata": {},
   "source": [
    "### 双边滤波\n",
    "双边滤波可以保留边缘，同时对边缘内的区域进行平滑处理\n",
    "* bilateralFilter(src,d,sigmaColor,sigmaSpace[,dst[,borderType]])\n",
    " * sigmaColor是计算像素信息使用的sigma\n",
    " * sigmaSpace是计算空间信息使用的sigma\n",
    " * d也相当于卷积核大小"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5ea82ead",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "dst = cv2.bilateralFilter(img,7,sigmaColor = 20,sigmaSpace = 50)\n",
    "\n",
    "cv2.imshow('img',np.hstack((img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb1e9c87",
   "metadata": {},
   "source": [
    "### 索贝尔(sobel)算子\n",
    "滤波降噪，算子找边缘"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "6289ffb1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('qipan.png')\n",
    "\n",
    "#注意sobel算子要分别计算xy的梯度\n",
    "#计算x轴方向的梯度，只有垂直方向的边缘\n",
    "dx = cv2.Sobel(img,cv2.CV_64F,dx = 1,dy = 0,ksize=5)\n",
    "#只有水平方向的边缘\n",
    "dy = cv2.Sobel(img,cv2.CV_64F,0,1,ksize=5)\n",
    "\n",
    "#dst = dx+dy\n",
    "\n",
    "# cv2.addWeighted(dx,0.5,dy,0.5,gamma=0)\n",
    "dst = cv2.add(dx,dy)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((dx,dy,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75613b8c",
   "metadata": {},
   "source": [
    "### 沙尔(Scharr)算子\n",
    "* Scharr(src,ddepth,dx,dy[,dst[,scale[,delta[,borderType]]]])\n",
    "<br>沙尔算子只支持3*3的kernel所以没有kernel参数了 \n",
    "<br>沙尔算子只能求x方向或y方向的边缘\n",
    "<br>Sobel算子的ksize设为-1就是Scharr\n",
    "<br>Scharr擅长寻找细小的边缘，一般用的较少"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d881b958",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "#注意sobel算子要分别计算xy的梯度\n",
    "#计算x轴方向的梯度，只有垂直方向的边缘\n",
    "dx = cv2.Scharr(img,cv2.CV_64F,dx = 1,dy = 0)\n",
    "#只有水平方向的边缘\n",
    "dy = cv2.Scharr(img,cv2.CV_64F,0,1)\n",
    "\n",
    "dst = cv2.add(dx,dy)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((dx,dy,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df338bb1",
   "metadata": {},
   "source": [
    "### 拉普拉斯算子\n",
    "* Laplacian(src,ddepth[,dst[,ksize[,scale[,delta[,borderType]]]]])\n",
    "可以同时求两个方向的边缘\n",
    "对噪声敏感，一般需要先进行去噪再调用拉普拉斯"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "098b5edf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('qipan.png')\n",
    "\n",
    "dst = cv2.Laplacian(img,-1,ksize=3)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ffe843f",
   "metadata": {},
   "source": [
    "### Canny边缘检测\n",
    "* Canny(img,minVal,maxVal,..)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "4fe72004",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('qipan.png')\n",
    "#阈值越小，细节越丰富\n",
    "dx = cv2.Canny(img,100,200)\n",
    "dy = cv2.Canny(img,64,128)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((dx,dy)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16f591ec",
   "metadata": {},
   "source": [
    "## 形态学\n",
    "* 指一系列处理图像形状特征的图像处理技术\n",
    "* 基本思想是利用一种特殊的结构元（本质上就是卷积核）来测量或提取输入图像中相应的形状或特征，以便进一步进行图像分析和目标识别\n",
    "* 这些处理方法基本是对二进制图像进行处理，即黑白照片\n",
    "* 卷积核决定这图像处理后的效果\n",
    "* 形态学常用基本操作有：\n",
    " * 膨胀与腐蚀\n",
    " * 开运算\n",
    " * 闭运算\n",
    " * 顶帽\n",
    " * 黑帽"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18651878",
   "metadata": {},
   "source": [
    "### 图像全局二值化\n",
    "二值化：将图像的每个像素变成两种值0，255 <br>\n",
    "threshold(src,thresh,maxval,tyoe[,dst])\n",
    "* src:最好是灰度图\n",
    "* thresh:阈值\n",
    "* maxval:最大值，最大值不一定是255\n",
    "* type:操作类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "fd8125e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "new_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "#返回两个结果，一个是阈值，一个是处理后的结果\n",
    "ret,dst = cv2.threshold(new_img,80,255,cv2.THRESH_BINARY)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((new_img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48cd38db",
   "metadata": {},
   "source": [
    "### 自适应阈值二值化\n",
    "此时的阈值时根据图像上的每一个小区域计算与其对应的阈值，因此在同一幅图上的不同区域采用的是不同的阈值，从而是我们能在亮度不同的情况下得到更好的结果\n",
    "adaptiveThreshold(src,maxValue,adaptiveMethod,thresholdType,blockSize,C,dst=None)\n",
    "这种方法需要指定6个参数，返回值只有一个\n",
    "* Adaptive Method-指定计算阈值的方法\n",
    "* Block Size-领域大小(用来计算阈值的区域大小)\n",
    "* C-常数，阈值就等于平均值或者加权平均值减去这个常数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "98f68522",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "new_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "dst = cv2.adaptiveThreshold(new_img,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,3,0)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((new_img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfdd9405",
   "metadata": {},
   "source": [
    "### 腐蚀操作\n",
    "用卷积核扫描图像，只不过腐蚀操作的卷积核一般都是1，如果卷积核内所有像素点都是白色，那么锚点即为白色。\n",
    "erode(src,kernel,[,dst[,anchor[,iterations[,borderType[,borderValue]]]]])\n",
    "* iterations是腐蚀操作的迭代次数，次数越多，腐蚀操作执行的次数越多，腐蚀效果越明显"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "feb22bec",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "new_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "kernel = np.ones((3,3),np.uint8)\n",
    "\n",
    "dst = cv2.erode(new_img,kernel,iterations=2)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((new_img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "757ed380",
   "metadata": {},
   "source": [
    "### 获取形态学卷积核\n",
    "opencv提供了获取卷积核的api，不需要我们手工创建卷积核<br>\n",
    "getStructuringElement(shape,ksize[,anchor])\n",
    "* shape是指卷积核的形状，注意不是指长宽，是指卷积核中1形成的形状"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "5595591c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "new_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(3,3))\n",
    "\n",
    "dst = cv2.erode(new_img,kernel,iterations=2)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((new_img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "debeac5a",
   "metadata": {},
   "source": [
    "### 膨胀操作\n",
    "与腐蚀操作相反操作，基本原理是只要保证卷积核的锚点是非0值，周边无论是0还是非0值，都变成非0值\n",
    "dilate(img,kernel,interations=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "7227e399",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(3,3))\n",
    "\n",
    "dst = cv2.dilate(img,kernel,iterations=2)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d8f2793",
   "metadata": {},
   "source": [
    "### 开运算\n",
    "开运算和闭运算都是腐蚀和膨胀的基本应用<br>\n",
    "开运算=腐蚀+膨胀<br>\n",
    "morphologyEx(img,MORPH_OPEN,kernel)\n",
    "* MORPH_OPEN表示形态学的开运算\n",
    "* kernel如果噪点比较多，会选择大一点的kernel，如果噪点比较小，可以选择小点的kernel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "910604d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(3,3))\n",
    "\n",
    "dst = cv2.morphologyEx(img,cv2.MORPH_OPEN,kernel)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7936fc9",
   "metadata": {},
   "source": [
    "### 闭运算\n",
    "闭运算=膨胀+腐蚀"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "a2d9a26c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(3,3))\n",
    "\n",
    "dst = cv2.morphologyEx(img,cv2.MORPH_CLOSE,kernel)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac810c15",
   "metadata": {},
   "source": [
    "### 形态学梯度\n",
    "* 梯度 = 原图 - 腐蚀\n",
    "* 腐蚀之后原边缘变小了，原图-腐蚀就可以得到腐蚀掉的部分，即边缘"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "41799ec0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "#注意调节kernel\n",
    "kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(3,3))\n",
    "\n",
    "dst = cv2.morphologyEx(img,cv2.MORPH_GRADIENT,kernel,iterations=2)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca10ccc7",
   "metadata": {},
   "source": [
    "### 顶帽运算\n",
    "* 顶帽 = 原图 - 开运算\n",
    "* 开运算的效果是去除图像外的噪点，原图-开运算就得到了去掉的噪点"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "6b420d8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "#注意调节kernel大小以获得更清晰的边缘\n",
    "kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(19,19))\n",
    "\n",
    "dst = cv2.morphologyEx(img,cv2.MORPH_TOPHAT,kernel,iterations=1)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b03c9822",
   "metadata": {},
   "source": [
    "### 黑帽操作\n",
    "* 黑帽 = 原图 - 闭运算\n",
    "* 闭运算可以将图形内部的噪声去掉，那么原图-闭运算的结果就是图形内部的噪点"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "242830d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "#注意调节kernel大小以获得更清晰的边缘\n",
    "kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(7,7))\n",
    "\n",
    "dst = cv2.morphologyEx(img,cv2.MORPH_BLACKHAT,kernel,iterations=1)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((img,dst)))\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55a1ea9f",
   "metadata": {},
   "source": [
    "## 图像轮廓\n",
    "图像轮廓是具有相同颜色或灰度的连续点的曲线，轮廓在形状分析和物体的检测和识别中很有用<br>\n",
    "作用：\n",
    "* 用于图形分析\n",
    "* 物体的识别和检测\n",
    "\n",
    "注意点：\n",
    "* 为了检测的准确性，需要先对图像进行二值化或Canny操作\n",
    "* 画轮廓时会修改输入的图像，如果之后想继续使用原始图像，应该将原始图像存储到其他变量中"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d1101cd",
   "metadata": {},
   "source": [
    "### 查找轮廓\n",
    "findContours(image,mode,method[,contours[,hierachy[,offset]]])\n",
    "* mode:查找轮廓的模式\n",
    "* method:轮廓近似方法也叫ApproximationMode\n",
    "* 返回contours和hierachy:即轮廓和层级"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "4da7a11a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "#该图像显示效果时黑白的，但是实际上却是3通道的彩色图像\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "#变成单通道的黑白图片\n",
    "gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "# 二值化，注意有两个返回值，阈值和结果\n",
    "ret,binary = cv2.threshold(gray,150,255,cv2.THRESH_BINARY)\n",
    "\n",
    "#轮廓查找，新版本返回两个结果，轮廓和层级，老版本返回三个参数，图像，轮廓和层级\n",
    "result,contours,hierachy = cv2.findContours(binary,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)\n",
    "\n",
    "\n",
    "dst = cv2.morphologyEx(img,cv2.MORPH_BLACKHAT,kernel,iterations=1)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((gray,result)))\n",
    "#打印轮廓\n",
    "# print(contours)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f24e9436",
   "metadata": {},
   "source": [
    "### 绘制轮廓\n",
    "drawContours(image,contours,contourldx,color[,thickness[,lineType[,hierarchy[,maxleve[,offset]]]]])\n",
    "* image:要绘制的轮廓图像\n",
    "* contours:轮廓点\n",
    "* contourldx:要绘制的轮廓的编号。-1表示绘制所有轮廓\n",
    "* thickness:线宽，-1表示全部填充"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "42744cc3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "#该图像显示效果时黑白的，但是实际上却是3通道的彩色图像\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "#变成单通道的黑白图片\n",
    "gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "# 二值化，注意有两个返回值，阈值和结果\n",
    "ret,binary = cv2.threshold(gray,150,255,cv2.THRESH_BINARY)\n",
    "\n",
    "#轮廓查找，新版本返回两个结果，轮廓和层级，老版本返回三个参数，图像，轮廓和层级\n",
    "result,contours,hierachy = cv2.findContours(binary,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)\n",
    "\n",
    "img_copy = img.copy()\n",
    "dst = cv2.drawContours(img_copy,contours,-1,(0,0,255),2)\n",
    "\n",
    "cv2.imshow('dx',np.hstack((img,dst)))\n",
    "#打印轮廓\n",
    "# print(contours)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2e76dda",
   "metadata": {},
   "source": [
    "### 轮廓的面积和周长\n",
    "在查找到轮廓后，可能会有很多细小的轮廓，我们可以通过轮廓的面积进行过滤<br>\n",
    "* contoursArea(contour)\n",
    "* arcLength(curve,closed)\n",
    " * curve即轮廓\n",
    " * closed是否闭合的轮廓"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "27b78adf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.5\n",
      "9.41421353816986\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "img = cv2.imread('dog.jpeg')\n",
    "gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "ret,binary = cv2.threshold(gray,150,255,cv2.THRESH_BINARY)\n",
    "#轮廓查找，新版本返回两个结果，轮廓和层级，老版本返回三个参数，图像，轮廓和层级\n",
    "result,contours,hierachy = cv2.findContours(binary,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)\n",
    "img_Area = cv2.contourArea(contours[-1])\n",
    "img_arcL = cv2.arcLength(contours[-1],closed=True)\n",
    "print(img_Area)\n",
    "print(img_arcL)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ee06485",
   "metadata": {},
   "source": [
    "### 多边形逼近\n",
    "findContours后的轮廓信息contours可能过于复杂不平滑，可以用approxPolyDP函数对该多边形曲线做适当近似，这就是轮廓的多边形逼近<br>\n",
    "approxPolyDP就是以多边形取逼近轮廓，采用的时Douglas-Peucker算法(方法名中的DP)<br>\n",
    "DP算法原理核心就是不断寻找多边形最远的点加入形成新的多边形，直到最短距离小于指定的精度<br>\n",
    "approxPolyDP(curve,epsilon,closed[,approxCurve])\n",
    "* curve:要近似逼近的轮廓\n",
    "* epsilon:即DP算法使用的阈值\n",
    "* closed:轮廓是否闭合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "60d6e5b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "img = cv2.imread('123.png')\n",
    "gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "# 调整阈值（示例使用自适应阈值增强鲁棒性）\n",
    "binary = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, \n",
    "                              cv2.THRESH_BINARY_INV, 11, 2)\n",
    "\n",
    "result,contours, hierarchy = cv2.findContours(binary, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)\n",
    "\n",
    "# 检查是否检测到轮廓\n",
    "if len(contours) == 0:\n",
    "    print(\"未检测到任何轮廓！\")\n",
    "    exit()\n",
    "\n",
    "img_copy = img.copy()\n",
    "# 绘制所有轮廓（验证轮廓检测）\n",
    "cv2.drawContours(img_copy, contours, -1, (0,0,255), 2)\n",
    "\n",
    "# 对第一个轮廓进行多边形逼近（调整epsilon值观察效果）\n",
    "epsilon = 0.02 * cv2.arcLength(contours[0], True)  # 动态计算epsilon（示例比例）\n",
    "approx = cv2.approxPolyDP(contours[0], epsilon, closed=True)\n",
    "\n",
    "# 绘制逼近后的轮廓（绿色）\n",
    "cv2.drawContours(img_copy, [approx], 0, (0,255,0), 2)\n",
    "\n",
    "# 显示结果\n",
    "cv2.imshow('Original vs Approximated', img_copy)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef369c73",
   "metadata": {},
   "source": [
    "### 凸包\n",
    "凸包是指完全包含原有轮廓，并且仅由轮廓上的点所构成的多边形。在凸包内，任意连续三个点的内角小于180°<br>\n",
    "convexHull(points[,hull[,clockwise[,returnPoints]]])\n",
    "* points:即轮廓\n",
    "* clockwise:顺时针绘制"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3acc537a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "img = cv2.imread('dog.jpeg')\n",
    "gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "# 调整阈值（示例使用自适应阈值增强鲁棒性）\n",
    "binary = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, \n",
    "                              cv2.THRESH_BINARY_INV, 11, 2)\n",
    "\n",
    "result,contours, hierarchy = cv2.findContours(binary, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)\n",
    "\n",
    "# 检查是否检测到轮廓\n",
    "if len(contours) == 0:\n",
    "    print(\"未检测到任何轮廓！\")\n",
    "    exit()\n",
    "\n",
    "img_copy = img.copy()\n",
    "# 绘制所有轮廓（验证轮廓检测）\n",
    "cv2.drawContours(img_copy, contours, -1, (0,0,255), 2)\n",
    "\n",
    "\n",
    "# 对第一个轮廓进行多边形逼近（调整epsilon值观察效果）\n",
    "epsilon = 0.02 * cv2.arcLength(contours[0], True)  # 动态计算epsilon（示例比例）\n",
    "approx = cv2.approxPolyDP(contours[0], epsilon, closed=True)\n",
    "\n",
    "# 绘制逼近后的轮廓（绿色）\n",
    "cv2.drawContours(img_copy, [approx], 0, (0,255,0), 2)\n",
    "\n",
    "#计算凸包\n",
    "hull = cv2.convexHull(contours[0])\n",
    "cv2.drawContours(img_copy, [hull], 0, (255,0,0), 2)\n",
    "# 显示结果\n",
    "cv2.imshow('Hull', img_copy)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ad85d84",
   "metadata": {},
   "source": [
    "### 外接矩形\n",
    "minAreaRect(points)最小外接矩阵\n",
    "* points:即为轮廓\n",
    "* 返回元组，内容是一个旋转矩形(RotatedRect)的参数:矩形的起始坐标x,y,矩形的宽度和高度，矩形的选择角度\n",
    "boundingRect(points)最大外接矩阵\n",
    "* points:即为轮廓"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "8f984000",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "((14.0, 0.5), (1.0, 0.0), 90.0)\n",
      "[[14.  0.]\n",
      " [14.  0.]\n",
      " [14.  1.]\n",
      " [14.  1.]]\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "img = cv2.imread('qipan.png')\n",
    "gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "# 调整阈值（示例使用自适应阈值增强鲁棒性）\n",
    "binary = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, \n",
    "                              cv2.THRESH_BINARY_INV, 11, 2)\n",
    "\n",
    "result,contours, hierarchy = cv2.findContours(binary, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)\n",
    "\n",
    "#rect是一个Rotated Rect旋转矩形，矩形的起始坐标(x,y),矩形的长宽，矩形的旋转角度\n",
    "rect = cv2.minAreaRect(contours[0])\n",
    "print(rect)\n",
    "box = cv2.boxPoints(rect)\n",
    "print(box)\n",
    "box = np.round(box).astype('int64')\n",
    "cv2.drawContours(img_copy, [box], 0, (255,0,0), 2)\n",
    "\n",
    "#最大外接矩形，返回最大外接矩形的参数,(x,y),(w,h)\n",
    "x,y,w,h = cv2.boundingRect(contours[0])\n",
    "cv2.rectangle(img,(x,y),(x+w,y+h),(0,0,255),2)\n",
    "# 显示结果\n",
    "cv2.imshow('Hull', img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fc2e3d4",
   "metadata": {},
   "source": [
    "## 图像金字塔\n",
    "### 高斯金字塔(Gaussian pyramid):用来向下/降采样，主要的图像金字塔\n",
    "### 拉普拉斯金字塔(Laplacian pyramid):用来从金字塔低层图像重建上层未采样，在数字图像处理中也即是预测残差，可以对图像进行最大程度的还原，配合高斯金字塔使用"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42a5d16d",
   "metadata": {},
   "source": [
    "### 高斯金字塔\n",
    "通过高斯平滑和亚采样(subsampling)获得一系列下采样图像<br>\n",
    "原始图像M*N -> 处理后图像M/2*N/2<br>\n",
    "每次处理后结果图像是原来的1/4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4d897efa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1200, 1920, 3)\n",
      "(600, 960, 3)\n"
     ]
    }
   ],
   "source": [
    "#向下采样\n",
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "img = cv2.imread('dog.jpeg')\n",
    "print(img.shape)\n",
    "#分辨率减少的操作，下采样\n",
    "dst = cv2.pyrDown(img)\n",
    "print(dst.shape)\n",
    "cv2.imshow('img', img)\n",
    "cv2.imshow('dst', dst)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "4b1ddac6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1200, 1920, 3)\n",
      "(2400, 3840, 3)\n"
     ]
    }
   ],
   "source": [
    "#向上采样\n",
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "img = cv2.imread('dog.jpeg')\n",
    "print(img.shape)\n",
    "dst = cv2.pyrUp(img)\n",
    "print(dst.shape)\n",
    "cv2.imshow('img', img)\n",
    "cv2.imshow('dst', dst)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aded29fe",
   "metadata": {},
   "source": [
    "### 拉普拉斯金字塔\n",
    "Li = Gi -pyrUp(pyrDown(Gi))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "6429cef9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#向上采样\n",
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "dst = cv2.pyrDown(img)\n",
    "dst = cv2.pyrUp(dst)\n",
    "#原图 和高斯金字塔的差就是拉普拉斯金字塔\n",
    "lap0 = img - dst\n",
    "\n",
    "#第二层\n",
    "dst1 = cv2.pyrDown(dst)\n",
    "dst1 = cv2.pyrUp(dst1)\n",
    "lap1 = dst - dst1\n",
    "\n",
    "cv2.imshow('img', img)\n",
    "cv2.imshow('lap0', lap0)\n",
    "cv2.imshow('lap1', lap1)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06fdad7a",
   "metadata": {},
   "source": [
    "### 图像直方图\n",
    "在统计学，直方图是一种对数据分布情况的图形表示，是一种二维统计图表<br>\n",
    "图像直方图是用一表示数字图像中亮度分布的直方图，标绘了图像中每个亮度值的像素数。可以借助观察该直方图了解需要如何调整亮度分布的直方图。\n",
    "这种直方图中，横坐标的左侧未纯黑、较暗的区域，而右侧为较亮、纯白的区域。因此，一张较暗图片的图像直方图中的数据多集中于左侧和中间部分，而整体明亮，只有少量阴影的图像则相反<br>\n",
    "* 横坐标:图像中各个像素点的灰度级\n",
    "* 纵坐标:具有该灰度级的像素个数"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91409a58",
   "metadata": {},
   "source": [
    "### 直方图均衡化\n",
    "#### 术语\n",
    "* dims:需要统计的特征的数目。例如:dims = 1,表示我们仅统计灰度值\n",
    "* bins:每个特征空间子区段的数目\n",
    "* range:统计灰度值的范围，一般为[0,255]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71060911",
   "metadata": {},
   "source": [
    "### 使用OpenCV统计直方图\n",
    "calcHist(images,channels,mask,histSize,ranges[,accumulate])\n",
    "* images:原始图像\n",
    "* channels:指定通道\n",
    "    * 需要用中括号括起来，输入图像是灰度图像时，值是[0],彩色图像可以是[0],[1],[2],分别对应B，G，R\n",
    "* mask:掩码图像\n",
    "    * 统计整幅图像的直方图，设为None\n",
    "    * 统计图像某一部分的直方图时，需要掩码图像\n",
    "* histSize:BINS的数量\n",
    "    * 需要用中括号括起来，例如[256]\n",
    "* ranges:像素值范围,例如[0,255]\n",
    "* accumulate:累计标识\n",
    "    * 默认值为False\n",
    "    * 如果被设置为True，则直方图在开始分配时不会被清零\n",
    "    * 该参数允许从多个对象中计算单个直方图，或者用于实时更新直方图\n",
    "    * 多个直方图的累积结果，用于对一组图像计算直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c1fab10b",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-8-ccea56286363>, line 12)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-8-ccea56286363>\"\u001b[1;36m, line \u001b[1;32m12\u001b[0m\n\u001b[1;33m    cv2.destroyAllWindows()`\u001b[0m\n\u001b[1;37m                           ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "#向上采样\n",
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "hist = cv2.calcHist([img],[0],None,[256],[0,255])\n",
    "# print(hist)\n",
    "print(hist.size)\n",
    "print(hist.shape)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "60703433",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([2.0000e+00, 2.3000e+01, 7.3000e+01, 3.9600e+02, 1.0140e+03,\n",
       "        1.0930e+03, 1.1330e+03, 1.9770e+03, 1.9480e+03, 1.5460e+03,\n",
       "        1.4000e+03, 1.3290e+03, 1.4070e+03, 1.2830e+03, 1.0960e+03,\n",
       "        9.7500e+02, 9.5100e+02, 9.4000e+02, 8.9700e+02, 8.5000e+02,\n",
       "        8.3000e+02, 7.9400e+02, 7.5900e+02, 7.6800e+02, 6.4600e+02,\n",
       "        6.9200e+02, 7.0600e+02, 6.3700e+02, 6.3200e+02, 6.1900e+02,\n",
       "        6.6800e+02, 6.4600e+02, 6.1100e+02, 6.3800e+02, 6.5900e+02,\n",
       "        6.5000e+02, 6.8000e+02, 6.5600e+02, 7.0000e+02, 7.0900e+02,\n",
       "        7.0800e+02, 7.1900e+02, 6.8600e+02, 7.1000e+02, 7.3600e+02,\n",
       "        7.8700e+02, 7.7700e+02, 8.1000e+02, 8.3800e+02, 8.1000e+02,\n",
       "        8.3900e+02, 9.0200e+02, 9.4200e+02, 9.6800e+02, 9.9400e+02,\n",
       "        1.0380e+03, 1.1390e+03, 1.1680e+03, 1.2580e+03, 1.2980e+03,\n",
       "        1.4460e+03, 1.5650e+03, 1.6390e+03, 1.7210e+03, 1.7020e+03,\n",
       "        1.8160e+03, 1.7910e+03, 1.8900e+03, 2.0250e+03, 1.9900e+03,\n",
       "        2.2490e+03, 2.2800e+03, 2.4840e+03, 2.6320e+03, 2.8100e+03,\n",
       "        2.8700e+03, 3.0620e+03, 3.6890e+03, 4.0360e+03, 4.6560e+03,\n",
       "        5.3070e+03, 5.5950e+03, 6.1810e+03, 6.6270e+03, 7.3730e+03,\n",
       "        7.7240e+03, 8.3070e+03, 8.6450e+03, 9.6330e+03, 1.0509e+04,\n",
       "        1.0918e+04, 1.1572e+04, 1.1561e+04, 1.2200e+04, 1.2088e+04,\n",
       "        1.2580e+04, 1.2966e+04, 1.2855e+04, 1.2740e+04, 1.2128e+04,\n",
       "        1.1658e+04, 1.1526e+04, 1.1441e+04, 1.1374e+04, 1.1101e+04,\n",
       "        1.0736e+04, 1.0648e+04, 1.0438e+04, 1.0753e+04, 1.1060e+04,\n",
       "        1.1147e+04, 1.1205e+04, 1.1369e+04, 1.1326e+04, 1.1756e+04,\n",
       "        1.1607e+04, 1.1663e+04, 1.1865e+04, 1.1699e+04, 1.1890e+04,\n",
       "        1.1982e+04, 1.2595e+04, 1.3148e+04, 1.3454e+04, 1.4345e+04,\n",
       "        1.5469e+04, 1.6197e+04, 1.7070e+04, 1.7768e+04, 1.8424e+04,\n",
       "        1.8510e+04, 1.8724e+04, 1.8692e+04, 1.8776e+04, 1.9182e+04,\n",
       "        1.9360e+04, 1.9512e+04, 1.9450e+04, 1.9388e+04, 1.9099e+04,\n",
       "        1.9288e+04, 1.8922e+04, 1.8872e+04, 1.9024e+04, 1.9032e+04,\n",
       "        1.9130e+04, 1.9243e+04, 1.8983e+04, 1.9108e+04, 1.9155e+04,\n",
       "        1.9263e+04, 1.9502e+04, 1.9640e+04, 1.9694e+04, 2.0147e+04,\n",
       "        1.9583e+04, 1.9850e+04, 1.9742e+04, 1.9791e+04, 1.9432e+04,\n",
       "        1.9685e+04, 1.9648e+04, 2.0254e+04, 1.9917e+04, 2.0158e+04,\n",
       "        1.9901e+04, 2.0114e+04, 1.9982e+04, 2.0394e+04, 2.0563e+04,\n",
       "        2.0663e+04, 2.0682e+04, 2.0910e+04, 2.0993e+04, 2.0558e+04,\n",
       "        2.0247e+04, 2.0253e+04, 1.9404e+04, 1.9333e+04, 1.8749e+04,\n",
       "        1.8697e+04, 1.8343e+04, 1.8082e+04, 1.7855e+04, 1.7113e+04,\n",
       "        1.6603e+04, 1.6431e+04, 1.5904e+04, 1.5265e+04, 1.5279e+04,\n",
       "        1.5157e+04, 1.4470e+04, 1.4367e+04, 1.4290e+04, 1.4007e+04,\n",
       "        1.3824e+04, 1.3689e+04, 1.3741e+04, 1.3044e+04, 1.2874e+04,\n",
       "        1.2805e+04, 1.2058e+04, 1.1748e+04, 1.1209e+04, 1.1176e+04,\n",
       "        1.0615e+04, 1.0512e+04, 1.0440e+04, 1.0158e+04, 9.8930e+03,\n",
       "        9.6260e+03, 9.0100e+03, 8.7880e+03, 8.5790e+03, 8.2400e+03,\n",
       "        7.9530e+03, 7.7150e+03, 7.5960e+03, 7.4470e+03, 7.6190e+03,\n",
       "        7.7050e+03, 7.7730e+03, 7.8770e+03, 7.6680e+03, 7.4730e+03,\n",
       "        7.4100e+03, 7.5420e+03, 7.5370e+03, 7.2800e+03, 7.3490e+03,\n",
       "        7.1210e+03, 6.8460e+03, 6.3300e+03, 5.8740e+03, 5.2730e+03,\n",
       "        4.7290e+03, 4.1900e+03, 3.5990e+03, 3.0110e+03, 2.8170e+03,\n",
       "        2.4580e+03, 2.2710e+03, 2.1240e+03, 1.6740e+03, 1.5020e+03,\n",
       "        1.2770e+03, 1.1180e+03, 1.0130e+03, 9.2200e+02, 9.2500e+02,\n",
       "        1.0250e+03, 1.2190e+03, 1.4040e+03, 1.8200e+03, 3.4500e+02,\n",
       "        3.9000e+01]),\n",
       " array([  0.        ,   0.99609375,   1.9921875 ,   2.98828125,\n",
       "          3.984375  ,   4.98046875,   5.9765625 ,   6.97265625,\n",
       "          7.96875   ,   8.96484375,   9.9609375 ,  10.95703125,\n",
       "         11.953125  ,  12.94921875,  13.9453125 ,  14.94140625,\n",
       "         15.9375    ,  16.93359375,  17.9296875 ,  18.92578125,\n",
       "         19.921875  ,  20.91796875,  21.9140625 ,  22.91015625,\n",
       "         23.90625   ,  24.90234375,  25.8984375 ,  26.89453125,\n",
       "         27.890625  ,  28.88671875,  29.8828125 ,  30.87890625,\n",
       "         31.875     ,  32.87109375,  33.8671875 ,  34.86328125,\n",
       "         35.859375  ,  36.85546875,  37.8515625 ,  38.84765625,\n",
       "         39.84375   ,  40.83984375,  41.8359375 ,  42.83203125,\n",
       "         43.828125  ,  44.82421875,  45.8203125 ,  46.81640625,\n",
       "         47.8125    ,  48.80859375,  49.8046875 ,  50.80078125,\n",
       "         51.796875  ,  52.79296875,  53.7890625 ,  54.78515625,\n",
       "         55.78125   ,  56.77734375,  57.7734375 ,  58.76953125,\n",
       "         59.765625  ,  60.76171875,  61.7578125 ,  62.75390625,\n",
       "         63.75      ,  64.74609375,  65.7421875 ,  66.73828125,\n",
       "         67.734375  ,  68.73046875,  69.7265625 ,  70.72265625,\n",
       "         71.71875   ,  72.71484375,  73.7109375 ,  74.70703125,\n",
       "         75.703125  ,  76.69921875,  77.6953125 ,  78.69140625,\n",
       "         79.6875    ,  80.68359375,  81.6796875 ,  82.67578125,\n",
       "         83.671875  ,  84.66796875,  85.6640625 ,  86.66015625,\n",
       "         87.65625   ,  88.65234375,  89.6484375 ,  90.64453125,\n",
       "         91.640625  ,  92.63671875,  93.6328125 ,  94.62890625,\n",
       "         95.625     ,  96.62109375,  97.6171875 ,  98.61328125,\n",
       "         99.609375  , 100.60546875, 101.6015625 , 102.59765625,\n",
       "        103.59375   , 104.58984375, 105.5859375 , 106.58203125,\n",
       "        107.578125  , 108.57421875, 109.5703125 , 110.56640625,\n",
       "        111.5625    , 112.55859375, 113.5546875 , 114.55078125,\n",
       "        115.546875  , 116.54296875, 117.5390625 , 118.53515625,\n",
       "        119.53125   , 120.52734375, 121.5234375 , 122.51953125,\n",
       "        123.515625  , 124.51171875, 125.5078125 , 126.50390625,\n",
       "        127.5       , 128.49609375, 129.4921875 , 130.48828125,\n",
       "        131.484375  , 132.48046875, 133.4765625 , 134.47265625,\n",
       "        135.46875   , 136.46484375, 137.4609375 , 138.45703125,\n",
       "        139.453125  , 140.44921875, 141.4453125 , 142.44140625,\n",
       "        143.4375    , 144.43359375, 145.4296875 , 146.42578125,\n",
       "        147.421875  , 148.41796875, 149.4140625 , 150.41015625,\n",
       "        151.40625   , 152.40234375, 153.3984375 , 154.39453125,\n",
       "        155.390625  , 156.38671875, 157.3828125 , 158.37890625,\n",
       "        159.375     , 160.37109375, 161.3671875 , 162.36328125,\n",
       "        163.359375  , 164.35546875, 165.3515625 , 166.34765625,\n",
       "        167.34375   , 168.33984375, 169.3359375 , 170.33203125,\n",
       "        171.328125  , 172.32421875, 173.3203125 , 174.31640625,\n",
       "        175.3125    , 176.30859375, 177.3046875 , 178.30078125,\n",
       "        179.296875  , 180.29296875, 181.2890625 , 182.28515625,\n",
       "        183.28125   , 184.27734375, 185.2734375 , 186.26953125,\n",
       "        187.265625  , 188.26171875, 189.2578125 , 190.25390625,\n",
       "        191.25      , 192.24609375, 193.2421875 , 194.23828125,\n",
       "        195.234375  , 196.23046875, 197.2265625 , 198.22265625,\n",
       "        199.21875   , 200.21484375, 201.2109375 , 202.20703125,\n",
       "        203.203125  , 204.19921875, 205.1953125 , 206.19140625,\n",
       "        207.1875    , 208.18359375, 209.1796875 , 210.17578125,\n",
       "        211.171875  , 212.16796875, 213.1640625 , 214.16015625,\n",
       "        215.15625   , 216.15234375, 217.1484375 , 218.14453125,\n",
       "        219.140625  , 220.13671875, 221.1328125 , 222.12890625,\n",
       "        223.125     , 224.12109375, 225.1171875 , 226.11328125,\n",
       "        227.109375  , 228.10546875, 229.1015625 , 230.09765625,\n",
       "        231.09375   , 232.08984375, 233.0859375 , 234.08203125,\n",
       "        235.078125  , 236.07421875, 237.0703125 , 238.06640625,\n",
       "        239.0625    , 240.05859375, 241.0546875 , 242.05078125,\n",
       "        243.046875  , 244.04296875, 245.0390625 , 246.03515625,\n",
       "        247.03125   , 248.02734375, 249.0234375 , 250.01953125,\n",
       "        251.015625  , 252.01171875, 253.0078125 , 254.00390625,\n",
       "        255.        ]),\n",
       " <BarContainer object of 256 artists>)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 绘制直方图\n",
    "# 不用OpenCV的统计方法\n",
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "#统计直方数据\n",
    "plt.hist(gray.ravel(),bins=256,range=[0,255])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d38b53e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "img = cv2.imread('dog.jpeg')\n",
    "\n",
    "histb = cv2.calcHist([img],[0],None,[256],[0,255])\n",
    "histg = cv2.calcHist([img],[1],None,[256],[0,255])\n",
    "histr = cv2.calcHist([img],[2],None,[256],[0,255])\n",
    "plt.plot(histb,color='b',label='blue')\n",
    "plt.plot(histg,color='g',label='green')\n",
    "plt.plot(histr,color='r',label='red')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b971b30",
   "metadata": {},
   "source": [
    "### 直方图均衡化\n",
    "equalizeHist(src[,dst])\n",
    "* src:原图像\n",
    "* dst:目标图像，即处理结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c059aaa5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "img = cv2.imread('dog.jpeg')\n",
    "gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "#变黑\n",
    "gray_dark = gray - 40\n",
    "#变亮\n",
    "gray_bright = gray + 40\n",
    "\n",
    "#查看各自的直方图\n",
    "hist_gray = cv2.calcHist([gray],[0],None,[256],[0,255])\n",
    "hist_dark = cv2.calcHist([gray_dark],[0],None,[256],[0,255])\n",
    "hist_bright = cv2.calcHist([gray_bright],[0],None,[256],[0,255])\n",
    "\n",
    "plt.plot(hist_gray,label = 'gray')\n",
    "plt.plot(hist_dark,label = 'dark')\n",
    "plt.plot(hist_bright,label = 'bright')\n",
    "plt.legend()\n",
    "\n",
    "#进行均衡化处理\n",
    "dark_equ = cv2.equalizeHist(gray_dark)\n",
    "bright_equ = cv2.equalizeHist(gray_bright)\n",
    "\n",
    "\n",
    "cv2.imshow('gray_dark', np.hstack((gray_dark,dark_equ)))\n",
    "cv2.imshow('gray_bright', np.hstack((gray_bright,bright_equ)))\n",
    "\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "879a3e4b",
   "metadata": {},
   "source": [
    "### 使用掩膜的直方图\n",
    "* 先生成一个全黑和原始图片大小一样大的图片，mask=np.zeros(image.shape,np.uint8)\n",
    "* 将想要的区域通过索引方式设置为255.mask[100:200,200:300]=355"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0e018b29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "img = cv2.imread('dog.jpeg')\n",
    "gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "mask = np.zeros(gray.shape,np.uint8)\n",
    "mask[200:400,200:400] = 255\n",
    "\n",
    "#查看各自的直方图\n",
    "hist_mask = cv2.calcHist([gray],[0],mask,[256],[0,255])\n",
    "hist_img = cv2.calcHist([gray],[0],None,[256],[0,255])\n",
    "\n",
    "plt.plot(hist_mask,label = 'hist_mask')\n",
    "plt.plot(hist_img,label = 'hist_img')\n",
    "plt.legend()\n",
    "\n",
    "\n",
    "cv2.imshow('mask', cv2.bitwise_and(gray,gray,mask=mask))\n",
    "\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a5aed604",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
